9 Statistical Computing Jobs nearby Coimbatore

In this role as a developer, you will be responsible for creating scalable solutions focused on Power BI and Tableau Dashboard Development. Your key responsibilities will include: - Developing Power BI reports and effective Tableau dashboards by gathering and translating end user requirements. - Optimizing Microsoft Power BI and Tableau dashboards for usability, performance, flexibility, testability, and standardization. - Turning large amounts of raw data into actionable information. - Overseeing the development process of the Product, POC, and demo versions. - Maintaining design standards on all dashboards. - Setting up security on all dashboards to ensure data compliance. - Performing optimization of database queries. - Bringing new technologies and ideas to the team. - Being part of our growing BI Practice. For Tableau Dashboard Development, you should have: - Proven experience in developing and working with Tableau driven dashboards and analytics. - Ability to query and display large data sets while maximizing workbook performance. - Interpreting technical or dashboard structures and translating complex business requirements into technical specifications. - Working knowledge of Tableau administrator/architecture. - Advanced Tableau development skills. - High-level competency in Excel (macros, pivot tables, etc.). - Understanding of advanced calculations and statistical functions. - Solid understanding of SQL, relational database management systems, data modeling, and normalization. - Strong communication skills. - Attention to detail and accuracy. For Power BI, you should have: - Hands-on experience in Microsoft BI, advanced analytics, and SQL Server Reporting Services. - Thorough knowledge of scripting, data source integration, and advanced GUI development in Power BI. - Excellent skills in writing DAX scripts. - Creating row-level security with Power BI. - Proficient in embedding Power BI into web-based applications. - Familiarity with Power BI custom add-on development and deployment. - Experience in connecting Power BI with on-premise and cloud computing platforms. - Good knowledge of data warehousing. - Ability to provide optimized SQL scripts for complex scenarios. - Working knowledge of Business Intelligence Systems and Tools (Microsoft Power BI, SQL Server Reporting Services). - Understanding of data quality processes, data cleansing, and data transformation. - Strong communication skills with strong business analyst skills. - Hands-on experience in SSIS, SSRS, SSAS is a plus.,

As a Senior Data Science Lead, your primary skills should include: - Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic) - Proficiency in Python/PySpark, SAS/SPSS - Statistical analysis and computing - Familiarity with Probabilistic Graph Models, Great Expectation, Evidently AI - Experience in Forecasting (Exponential Smoothing, ARIMA, ARIMAX) - Knowledge of Tools like KubeFlow, BentoML - Expertise in Classification (Decision Trees, SVM) - Familiarity with ML Frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet - Understanding of Distance metrics like Hamming Distance, Euclidean Distance, Manhattan Distance - Knowledge of R/ R Studio In this role as the Agentic AI Lead, you will be responsible for driving the research, development, and deployment of semi-autonomous AI agents to tackle complex enterprise challenges. Your key responsibilities will include: - Architecting & Scaling Agentic AI Solutions: - Designing and developing multi-agent AI systems using LangGraph for workflow automation - Building memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains - Defining and implementing scalable architectures for LLM-powered agents that integrate with enterprise applications - Hands-On Development & Optimization: - Developing and optimizing agent orchestration workflows using LangGraph - Implementing knowledge graphs, vector databases, and retrieval-augmented generation techniques - Applying reinforcement learning methodologies to fine-tune AI agents for improved decision-making - Driving AI Innovation & Research: - Leading cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents - Staying ahead of advancements in multi-agent systems and AI planning - Prototyping and experimenting with self-learning AI agents for autonomous adaptation - AI Strategy & Business Impact: - Translating Agentic AI capabilities into enterprise solutions for automation and cost savings - Leading Agentic AI proof-of-concept projects that demonstrate tangible business impact - Mentorship & Capability Building: - Leading and mentoring a team of AI Engineers and Data Scientists - Establishing best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents Overall, you will play a pivotal role in the development and implementation of advanced AI solutions that drive business impact and innovation within the organization.,

As a Senior Engineer Data Scientist specializing in AI & Machine Learning, your role will involve leading the entire lifecycle of machine learning projects, from data acquisition and feature engineering to model training, validation, deployment, and monitoring in a cloud environment. You will also be responsible for architecting and implementing advanced Generative AI solutions, developing and fine-tuning Large Language Models (LLMs), and building robust Retrieval-Augmented Generation (RAG) and Multi-Modal RAG pipelines. Additionally, you will design and implement evaluation frameworks to measure the performance, fairness, and safety of LLMs and other generative models, ensuring they meet high standards for reliability and accuracy. Your responsibilities will also include performing deep-dive data analysis using advanced statistical methods, developing autonomous and semi-autonomous AI agents, and leveraging Google Cloud Platform (GCP) services to build scalable AI/ML solutions. Clear communication of technical concepts and model results to both technical and non-technical audiences will also be a crucial aspect of your role. Key Responsibilities: - Lead end-to-end model development for machine learning projects - Architect and implement advanced Generative AI solutions - Design and implement evaluation frameworks for AI systems - Perform deep-dive data analysis using advanced statistical methods - Research and develop autonomous AI agents - Utilize Google Cloud Platform services for building AI/ML solutions - Communicate complex technical concepts effectively to various audiences Qualifications Required: - Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field - Six or more years of professional experience in data science, machine learning, or a related role - Expert-level proficiency in Python and its core data science libraries - Deep theoretical and practical knowledge of machine learning algorithms and deep learning - Hands-on experience in developing and deploying Generative AI solutions - Strong proficiency in SQL for data extraction and analysis - Experience with cloud computing platforms, specifically Google Cloud Platform If you have the following qualifications, it would be even better: - Master's or Ph.D. in a relevant quantitative field - Practical experience in developing AI agents using specific frameworks - Experience in designing and implementing robust LLM evaluation metrics - Experience with voice and speech technologies - Familiarity with MLOps/LLMOps principles and tools - GCP Professional Machine Learning Engineer certification Kindly note that the above-mentioned qualifications and requirements are essential for excelling in this role as a Senior Engineer Data Scientist in the field of AI & Machine Learning.,

Role Overview: As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product using cutting-edge technologies. Your focus will be on implementing advanced algorithms and models to solve complex problems related to anomaly detection, forecasting, event correlation, and fraud detection. Key Responsibilities: - Develop production-ready implementations of proposed solutions across various machine learning and deep learning algorithms, including testing on live customer data to enhance efficacy and robustness. - Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. - Implement and manage the full machine learning operations (ML Ops) lifecycle using tools like Kubeflow, MLflow, AutoML, and Kserve for model deployment. - Develop and deploy machine learning models using PyTorch, TensorFlow to ensure high performance and scalability. - Run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements. - Experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models. - Continuously gather feedback from users, retrain models, and update them to maintain and improve performance. - Quickly understand network characteristics, especially in RAN and CORE domains, to provide exploratory data analysis on network data. - Apply GAN AI techniques to address network-related use cases and challenges. - Collaborate with data scientists, software engineers, and stakeholders to integrate implemented systems into the SaaS platform. - Suggest innovative concepts to improve the overall platform and create use cases for solving business problems. - Experience with MySQL/NoSQL databases and deploying end-to-end machine learning models in production. Qualification Required: - Bachelor's degree in Science/IT/Computing or equivalent. - 4+ years of experience in a QA Engineering role. - Strong quantitative and applied mathematical skills with in-depth knowledge of statistical techniques and machine learning methods. - Certification courses in Data Science/Machine Learning are advantageous. - Experience with Telecom Product development preferred, along with familiarity with TMF standards. - Proficiency in Python programming and machine learning libraries such as Scikit-Learn and NumPy. - Knowledge of DL frameworks like Keras, TensorFlow, and PyTorch, as well as Big Data tools and environments. (Note: Additional details of the company are not provided in the job description.),

As a Business Intelligence (BI) Engineer at the specified Human Resource team, your role involves continuous management of analytics to support strategic business decision-making. You will collect and analyze data to measure the impact of initiatives, providing relevant, intuitive, insight-driven information to all levels of the business. Building strong relationships with business leaders and working in an Agile framework will be key aspects of your role. Your responsibilities will include collaborating with business teams, designing reports and dashboards, performing analyses, and ensuring BI tools are fully leveraged to drive performance. **Key Responsibilities:** - Collaborate directly with business teams to understand performance drivers, trends, and provide insights - Design reports and dashboards for business consumption and oversee development - Perform pro forma modeling and ad hoc analyses - Maintain standardized templates for reports and dashboards - Ensure standardization and consistency of reporting - Define data needs, evaluate data quality, and work on data extraction, transformation, and loading - Utilize statistical and data visualization packages to develop innovative approaches to complex business problems - Analyze and communicate the effectiveness of new initiatives, drawing insights, and making performance improvement recommendations - Ensure appropriate data-driven reports and customer behavior insights flow to management for continuous improvement **Qualifications Required:** - Proficiency in Microsoft Azure services and/or other cloud computing environments - Experience with Database Management Systems (DBMS) like SQL and NoSQL - Knowledge of enterprise data visualization platforms such as Power BI and Big Query - Advanced analytical, problem-solving, and applied Algebraic skills - Working knowledge of business statistical applications and econometrics - Strong attention to detail and excellent verbal and written communication skills - Ability to synthesize and analyze large data sets for actionable findings - Project management skills and ability to work on multiple projects within established time constraints - Ability to handle strong demands in a fast-paced environment and work professionally with customers and co-workers - Passion for the job and necessary skill sets to excel in the role,

As a Senior AI/ML Engineer at Beatly.AI, you will play a crucial role in designing and deploying advanced machine learning models for pattern recognition and time-series or image-based applications. You will collaborate with cross-functional teams to develop reliable and scalable AI systems from research prototypes to production-ready solutions. Key Responsibilities: - Design and implement deep learning models (CNN, RNN, LSTM) for data classification, segmentation, or prediction tasks. - Develop robust data preprocessing and feature extraction pipelines for structured and unstructured datasets. - Optimize model architecture, training, and inference for performance and scalability. - Analyze and interpret model outputs, ensuring reliability and explainability. - Collaborate with teams to integrate AI models into production environments. - Conduct model evaluation using statistical and domain-relevant performance metrics. - Mentor junior engineers and contribute to design discussions and technical reviews. Required Skills & Experience: - 4-10 years of experience in applied machine learning or deep learning development. - Proven expertise in CNN-based model design for image or signal data. - Proficiency in Python and major deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Strong understanding of signal processing, data normalization, and augmentation techniques. - Familiarity with model optimization, quantization, and deployment practices. - Experience with version control (Git) and ML Ops tools (Docker, Kubernetes, or cloud ML platforms). - Solid grounding in mathematics, statistics, and algorithm design. Preferred Qualifications: - Bachelor's or Master's in Computer Science, Electrical Engineering, or related field. - Experience with time-series data analysis or real-time inference systems. - Background in end-to-end AI pipeline development from data collection to deployment. - Exposure to regulatory or safety-critical environments is a plus. What We Offer: - Opportunity to build and deploy cutting-edge AI systems with real-world impact. - Collaborative and technically strong R&D environment. - Competitive compensation, flexibility, and professional development opportunities. - Access to diverse datasets and advanced computing infrastructure. Contact Number: Jananisha HR - 8838621229 Benefits: - Health insurance - Paid sick time (Job Types: Full-time, Permanent),

As an AI Engineering Manager in Ford's Supply Chain Analytics Team, you will lead a small team and collaborate with experts globally to implement Agentic AI solutions. Your role will involve working on various products that leverage MCP to solve Supply Chain Problems across Ford globally. **Key Responsibilities:** - Design NLP/LLM/GenAI applications/products following robust coding practices. - Design Agentic AI Systems leveraging MCP protocol (or Google ADK). - Explore state-of-the-art models/techniques for automotive industry use cases. - Conduct ML experiments to train/infer models within memory & latency restrictions. - Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools. - Showcase NLP/LLM/GenAI applications effectively through web frameworks (Dash, Plotly, Streamlit, etc.). - Converge multibots into super apps using LLMs with multimodalities. - Develop agentic workflow using Autogen, Agentbuilder, langgraph, and MCP protocols. - Build modular AI/ML products for scalable consumption. **Qualifications Required:** - 5+ years of experience in AI engineering. - Master's Degree in Computer Science, Engineering, Maths, or Science. - Experience in LLM models like Gemini, GPT5, and more. - Proficiency in developing and deploying Agentic AI products leveraging MCP protocol. - Hands-on experience in building AI pipelines with multimodalities like text, image, and audio. - Familiarity with Docker tools and Python project management best practices. - Expertise in using Huggingface, LangChain, Chainlit, Tensorflow, Pytorch, Scikit-learn, Numpy, Pandas, and open-source NLP modules. - Knowledge of fundamental text data processing and implementing BERT or other transformer fine-tuned models. - Experience with GCP services, GPU/CPU cloud infrastructures, and cloud platforms for Data Engineering, Big Data, and ML needs. - Proficiency in CI/CD, infrastructure as code tools, orchestration tools, and building APIs with compliance and security. This role offers the opportunity to work with cutting-edge technologies and make a significant impact in the field of AI and Supply Chain Analytics at Ford.,

As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. You will work in close collaboration with cross-functional teams to build and deploy intelligent network automation tools leveraging machine learning, artificial intelligence, and advanced analytics. The goal is to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, particularly focusing on 5G and beyond. - Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. - Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. - Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands. This includes interference management, load balancing, and energy efficiency. - Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. - Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. - Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. - Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. - Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points. Qualifications Required: - A bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. - Proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. - Strong background in network optimization, particularly in RAN, 5G, or related technologies. - Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. - Strong programming skills in languages such as Python, Java, Microservices. - Proficiency in AI/ML algorithms, data modeling, and statistical methods. - In-depth knowledge of RAN technologies, 5G, and network management protocols. - Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus.,

As a Cognitive SON Architect, you will play a crucial role in enhancing the performance and self-management of telecommunications networks by designing and implementing AI-driven solutions. Your work will involve collaborating closely with cross-functional teams to develop intelligent network automation tools that leverage machine learning and advanced analytics, with a focus on optimizing modern mobile networks including 5G and beyond. **Key Responsibilities:** - Define the architecture for Cognitive SON solutions, incorporating AI/ML techniques for automating network management tasks. - Develop innovative algorithms and models to enhance the cognitive capabilities of SON systems for network optimization. - Optimize radio access networks (RAN) by creating real-time adaptive solutions for interference management, load balancing, and energy efficiency. - Collaborate with data scientists to implement AI/ML methods for predictive analytics and decision-making in SON context. - Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network systems and 5G infrastructure. - Work closely with stakeholders to deliver Cognitive SON features aligned with business goals. - Stay updated on AI/ML trends to contribute to continuous innovation in network automation solutions. - Engage with customers to understand their network challenges and provide tailored Cognitive SON solutions. **Skills & Qualifications:** - **Education:** Bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or related field. - **Experience:** 5+ years in network architecture, SON, or AI/ML applications within telecommunications, with a strong background in network optimization and experience in RAN technologies. - **Technical Expertise:** Proficient in Python, Java, and Microservices with expertise in AI/ML algorithms, data modeling, statistical methods, RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and SDN is a plus. This is a permanent position with the benefit of working from home and a day shift schedule from Monday to Friday. Performance bonus is also included based on your contributions. *Note: The work location is in person.* As a Cognitive SON Architect, you will play a crucial role in enhancing the performance and self-management of telecommunications networks by designing and implementing AI-driven solutions. Your work will involve collaborating closely with cross-functional teams to develop intelligent network automation tools that leverage machine learning and advanced analytics, with a focus on optimizing modern mobile networks including 5G and beyond. **Key Responsibilities:** - Define the architecture for Cognitive SON solutions, incorporating AI/ML techniques for automating network management tasks. - Develop innovative algorithms and models to enhance the cognitive capabilities of SON systems for network optimization. - Optimize radio access networks (RAN) by creating real-time adaptive solutions for interference management, load balancing, and energy efficiency. - Collaborate with data scientists to implement AI/ML methods for predictive analytics and decision-making in SON context. - Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network systems and 5G infrastructure. - Work closely with stakeholders to deliver Cognitive SON features aligned with business goals. - Stay updated on AI/ML trends to contribute to continuous innovation in network automation solutions. - Engage with customers to understand their network challenges and provide tailored Cognitive SON solutions. **Skills & Qualifications:** - **Education:** Bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or related field. - **Experience:** 5+ years in network architecture, SON, or AI/ML applications within telecommunications, with a strong background in network optimization and experience in RAN technologies. - **Technical Expertise:** Proficient in Python, Java, and Microservices with expertise in AI/ML algorithms, data modeling, statistical methods, RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and SDN is a plus. This is a permanent position with the benefit of working from home and a day shift schedule from Monday to Friday. Performance bonus is also included based on your contributions. *Note: The work location is in person.*

Role Overview: You will be a SAR Signal Processing Research Engineer responsible for developing and implementing advanced algorithms for processing and analyzing Synthetic Aperture Radar (SAR) data. Your role will involve conducting research, implementing algorithms, analyzing results, staying updated with the latest research, collaborating with team members, and documenting research activities. Key Responsibilities: - Conduct research on advanced signal processing techniques for SAR data, including: - Image formation algorithms - New modes of radar operation - Super-resolution techniques - Develop, implement, and test new SAR/radar signal processing algorithms using Python and MATLAB in high-performance computing environments. - Analyze and interpret SAR processing algorithm results to draw meaningful conclusions. - Stay up-to-date with the latest SAR/radar signal processing research and present findings at conferences and workshops. - Collaborate effectively with engineers, scientists, and researchers on SAR-related projects. - Research quality improvement methods for SAR data products. - Document research activities and findings clearly and comprehensively. Qualifications Required: - PhD, Masters, or Bachelors degree in Electrical Engineering, Electronics Engineering, Physics, or related field with a strong focus on signal processing. - Proven experience in developing and implementing radar signal processing algorithms. - Deep knowledge of mathematical tools such as Fourier transform, Hilbert transform, statistical signal processing, Bessel functions, Taylor series, Hough transform, etc. - Knowledge of SAR imaging principles and techniques is a plus. - Strong understanding of radar theory and signal processing concepts. - Experience with high-performance computing languages and frameworks (Python, MATLAB). - Excellent written and verbal communication skills. - Ability to work independently and collaboratively within a team. - Strong work ethic and passion for research. Please note that the benefits offered for this position include a competitive salary and performance bonuses, health insurance and wellness programs, flexible work arrangements, the opportunity to work on cutting-edge Earth Observation technologies, and a collaborative and innovative work environment.,

Role Overview: As a Senior Data Scientist within the Quality and Business Planning team, you are passionate about delivering quality products. This involves deploying statistical and analytic methods, measurements, and machine learning models to measure and impact the quality of map products. You are responsible for developing sampling and test designs, data and computing workflows, and analytics centered on Map and Location quality requirements. You are expected to be an expert on statistical and experimental design methods for Map and Location quality testing processes. Your role also includes interpreting project objectives and requirements, creating enabling data science solutions, and producing impactful outcomes. Additionally, you will be developing sampling plans for data collection, quality evaluation, and the production of training data, along with technical estimators for the evaluation of map quality and A/B experiments to validate optimization and solution approaches. Building and testing statistical and machine learning models to support the improvement of various data-driven processes for map making is also a key part of your responsibilities. You will design and develop data and computing tools to enable the processing of quality testing data and results. Collaboration with map and location experts, engineering teams, and other teams across the company is essential to enable the delivery of high-quality map products. Key Responsibilities: - Develop sampling plans for data collection, quality evaluation, and the production of training data - Create technical estimators for the evaluation of map quality - Conduct A/B experiments to validate optimization and solution approaches - Build and test statistical and machine learning models to support improvement of data-driven processes for map making - Design and develop data and computing tools for processing quality testing data and results - Collaborate with map and location experts, engineering teams, and other teams across the company to deliver high-quality map products Qualifications Required: - Master's or PhD degree in statistics, mathematics, computer sciences, natural sciences, econometrics, or related fields - 5+ years of related work experience - Proficiency and understanding of sampling methods and experimental design - Proficiency with machine learning and modeling techniques, including analytic methods such as regression, classifiers, clustering, association rules, decision trees, etc. - Proficiency with analysis and programming in Python and SQL, or similar packages (R, Matlab, SAS, etc.) - Knowledge and experience with using GIS tools for spatial data analysis - Experience with understanding, specifying, and explaining measurement and analytic systems with other teams of data scientists and engineers to execute projects delivering those solutions Additional Company Details: HERE Technologies is a location data and technology platform company. The company empowers its customers to achieve better outcomes, from helping a city manage its infrastructure to guiding drivers to their destination safely. HERE Technologies takes pride in creating solutions that fuel innovation, provide opportunity, and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, HERE Technologies welcomes you to join their team. Learn more about the company on their YouTube Channel.,

As a Lead Data Analyst at Circle K India Data & Analytics team, you will play a crucial role in deploying analytics algorithms and tools on the chosen tech stack for efficient delivery. Your responsibilities will include evaluating the performance of categories and activities using advanced analytical methods, supporting stakeholders with actionable insights based on data, designing and measuring experiments, and conducting advanced analytics projects such as clustering and forecasting. You will also be tasked with building impactful dashboards to bring data insights to life. Key Responsibilities: - Evaluate performance of categories and activities using advanced analytical methods - Support stakeholders with actionable insights based on data - Design and measure experiments and pilots - Conduct advanced analytics projects (clustering, forecasting, causal impact) - Build impactful dashboards for data visualization To excel in this role, you should hold a Bachelor's degree in an analytical discipline such as Finance, Mathematics, Statistics, Engineering, or similar. With at least 7 years of relevant experience in a quantitative/applied analytics role, you should have proficiency in programming and handling large data volumes with tools like Spark, SQL, and Python. Additionally, experience in leading projects and mentoring teams is a plus. Excellent communication skills in English, both verbal and written, are essential for effective collaboration. Qualifications Required: - Bachelor's degree in an analytical discipline - 7+ years of experience in a quantitative/applied analytics role - Proficiency in programming and handling large data volumes - Experience in leading projects or mentoring teams - Excellent communication skills in English In addition to technical skills, you should possess behavioral skills like delivery excellence, business disposition, social intelligence, innovation, and agility. Your knowledge should encompass functional analytics (Retail, Supply Chain, Marketing, Customer Analytics), statistical modeling, time series analysis, enterprise reporting systems, business intelligence tools (Power BI), and cloud computing services (Azure/AWS/GCP). This position offers you the opportunity to work with cross-functional teams, lead analytical applications" lifecycle, and advocate for a data-driven culture among stakeholders. Join Circle K India Data & Analytics team to make a significant impact on business performance and drive innovation through data-driven insights.,

Role Overview: As a Senior AI & Analytics Program Manager, you will be responsible for managing end-to-end client programs in a dynamic environment. Your role will involve a mix of hands-on technical contributions, team management, and client interactions. Key Responsibilities: - Lead and oversee AI & analytics programs for clients - Manage technical teams and ensure project delivery - Engage with clients to understand their requirements and provide solutions - Utilize scientific programming skills in Python, R, SQL, NoSQL, and Spark with ML tools & Cloud Technology (AWS, Azure, GCP) - Develop machine learning models using Python libraries such as numpy, pandas, sci-kit-learn, tensor-flow, scrapy, BERT, etc. - Apply expertise in machine learning, deep learning, data mining, and statistical concepts to develop innovative solutions - Collaborate with clients in domains like Supply Chain, Manufacturing, CPG, Marketing, etc., to address complex problem statements Qualifications Required: - M-Tech/PhD from a top-tier Institute, preferably in a quantitative subject - Minimum 18 years of hands-on experience in applied Machine Learning, AI, and analytics - Proficiency in ML algorithms for structured and unstructured data ecosystems - Experience in large-scale data processing and distributed computing - Ability to provide insights for sales and pre-sales activities - Self-motivated individual capable of working independently with minimal guidance - Excellent written and verbal communication skills (Additional details of the company were not provided in the job description),

As a Senior AI/ML Scientist (IC) at A.P. Moller - Maersk, you will play a crucial role in developing strategic recommendation systems to enhance supply chain execution and support decision-making processes. Your responsibilities will include designing and implementing machine learning models, conducting deep data analysis, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. You will be expected to solve complex problems using NLP, deep learning, optimization, and computer vision techniques. **Key Responsibilities:** - Independently design and develop scalable AI/ML solutions using advanced design patterns, models, and algorithms to analyze complex datasets and generate actionable insights. - Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys, and challenge business requirements for seamless integration. - Apply innovative problem-solving techniques and methodologies to find unique approaches to complex problems and improve outcomes. - Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions. - Drive initiatives to optimize workflows, share best practices, and enhance collaboration between teams. - Maintain detailed documentation covering methodologies, data pipelines, model performance, and key design decisions. - Ensure readiness for production releases by focusing on testing, monitoring, observability, and scalability of models for future projects. - Demonstrate awareness of shared platform capabilities and identify opportunities to leverage them in designing efficient AI/ML solutions. **Qualifications & Requirements:** - Bachelor's degree in B.E/BTech, preferably in computer science. - Experience with collaborative development workflow, version control, and CI/CD. - Strong communication skills with experience in stakeholder management. - Highly analytical mindset with excellent problem-solving skills. - Self-starter, highly motivated, and willing to share knowledge and work as a team player. **Preferred Experiences:** - 8+ years of relevant experience in Data Engineering. - 5+ years of hands-on experience with Apache Spark, Python, and SQL. - Experience working with large datasets and big data technologies. - Experience with containerization (Kubernetes & Docker) and cloud native applications. - Familiarity with common dashboarding and API technologies. Feel free to contact accommodationrequests@maersk.com for any special assistance or accommodations during the application and hiring process.,

As a GenAI Data Scientist at PwC US - Acceleration Center, your focus will be on leveraging data to drive insights and make informed business decisions through advanced analytics techniques. You will have the opportunity to optimize client operations and help them achieve strategic goals by utilizing your skills in data manipulation, visualization, and statistical modeling. **Key Responsibilities:** - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. **Qualifications Required:** - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. **Preferred Qualifications:** - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. **Nice To Have Skills:** - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. In your role as a GenAI Data Scientist at PwC, you will have the opportunity to apply your expertise in data science and GenAI technologies to drive impactful results for clients. Your advanced analytical skills and knowledge of machine learning will be instrumental in solving complex business problems and delivering innovative solutions.,

As a Senior Engineer/Lead Senior Engineer in Data Analytics and ML Model Development, you will be part of a dedicated team that applies cutting-edge AI and ML technologies to address complex challenges in chip design, qualification, and debug engineering processes. The primary goal is to improve engineering efficiency by implementing intelligent automation, leveraging data-driven insights, and creating innovative tools. **Key Responsibilities:** - Design and implement comprehensive data analytics workflows tailored for semiconductor engineering applications. - Develop, train, and optimize ML models using various techniques including supervised, unsupervised, and deep learning. - Conduct feature engineering, model evaluation, and hyperparameter tuning to enhance model performance. - Build scalable data pipelines for ingestion and transformation using Python and cloud-native tools. - Utilize statistical analysis and visualization methods to extract valuable insights from extensive datasets. - Perform time series analysis employing techniques like ANOVA and other statistical methods. - Explore GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and offer technical guidance to internal teams. **Qualifications Required:** - Master's degree in Computer Science, Data Science, or a related field. - Proficient in programming with Python or C++. - Strong grasp of data structures, algorithms, and software design principles. - Excellent analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques. - Familiarity with deep neural network architectures such as RNNs and Transformers. - Proficiency with ML frameworks like scikit-learn, TensorFlow, or PyTorch. - Knowledge in GenAI, LLMs, and RAG Optimization, as well as LLM Finetuning and Distillation. - Skilled in data analysis using Pandas, NumPy, and Matplotlib. - Understanding of statistical analysis, visualization, feature engineering, and model evaluation. - Knowledge of GPU, CUDA, and high-performance computing frameworks and methods. **Additional Company Details:** The company offers benefits such as food provision, health insurance, internet reimbursement, life insurance, paid time off, and provident fund. This is a full-time, permanent position requiring in-person work. Ensure you have a Master's degree in Computer Science, Data Science, or a related field with at least 2 years of experience in machine learning. If you have a Ph.D. or extensive experience in large model development and training from scratch, familiarity with time series analysis, SQL databases, ETL frameworks, cloud platforms, LLM integration frameworks, distributed computing, and cloud-scale data processing, it would be considered a plus. Join our team to contribute to the advancement of chip design and engineering processes through innovative data analytics and machine learning solutions.,

As a Data Scientist at EbizON, you will be responsible for analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. You will collaborate with cross-functional teams to design and implement predictive models and machine learning solutions. The ideal candidate for this role is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth. Key Responsibilities: - Data Modeling & Analysis: Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation. - Machine Learning Implementation: Build and fine-tune models leveraging LLMs, NLP techniques, ASR/TTS outputs, and structured/unstructured datasets to improve conversational understanding and recommendations. - Experimentation & Evaluation: Design experiments (A/B tests, user behavior analysis), implement evaluation metrics, and continuously iterate on models to improve performance and engagement. - Data Integration: Work with backend teams to integrate ML pipelines into production workflows, APIs, and data stores ensuring robust, scalable data-driven solutions. - Trust, Privacy & Ethics: Collaborate with engineering and compliance teams to ensure data pipelines adhere to privacy laws (PII/PHI), encryption standards, and healthcare guidelines (HIPAA/SOC2). - Collaboration with Cross-Functional Teams: Partner with product, clinical, and engineering teams to translate business requirements into data-driven strategies and actionable insights. - Monitoring & Observability: Implement monitoring, error tracking, and data quality checks for models in production to ensure reliability and fairness. - Accessibility & Fairness: Incorporate accessibility guidelines (ADA/WCAG 2.2), fairness audits, and bias mitigation techniques to ensure inclusive solutions. Required Skills & Experience: - 3 Years Experience in Data Modeling, Machine Learning & AI. - Machine Learning & AI: Hands-on experience with NLP pipelines, LLMs, embeddings, intent classification, speech analytics, or recommendation systems. - Data Engineering: Skilled in building ETL pipelines, data wrangling, feature extraction, and data visualization from large datasets (structured and unstructured). - Statistical Analysis & Experimentation: Experience in hypothesis testing, A/B experiments, causal inference, or clinical outcome analysis. - Programming: Proficiency in Python (Pandas, scikit-learn, TensorFlow/PyTorch), SQL, and APIs for data integration. - Cloud Infrastructure: Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker), data lakes, and distributed computing frameworks. - Security & Privacy: Understanding of data encryption, secure storage, and compliance frameworks related to PHI/PII. - Healthcare Domain Knowledge: Experience with healthcare datasets, patient data, or compliance requirements like HIPAA or SOC2 is preferred. - Communication & Collaboration: Ability to explain data-driven insights clearly to non-technical stakeholders, work across product, engineering, and clinical teams. - Problem Solving & Curiosity: Strong analytical mindset with a passion for deriving insights from complex data and designing models that drive user experience improvements. About Us: EbizON is an international team specializing in building technology products and helping brands grow with multi-channel demand generation marketing. The company values integrity, creativity, innovation, mindfulness, and teamwork. EbizON provides equal opportunities for all employees and believes in flexible working hours to help employees thrive and maintain a work-life balance. The company also offers global client exposure and organizes retreats, town halls, and festive celebrations to foster a fun and friendly work culture.,

Role Overview: You are a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics. Your role involves building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. Strong communication skills are essential to translate complex data into clear business insights. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights for driving business impact. - Design and implement predictive models, especially in areas like customer penetration optimization and regional performance forecasting. - Apply machine learning techniques (supervised and unsupervised learning) to solve critical business problems such as classification, regression, and clustering. - Engineer meaningful features from raw data to optimize model performance. - Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities. - Conduct feature selection and hyperparameter tuning to enhance model performance. - Validate model results using appropriate statistical and ML evaluation metrics. - Collaborate with data engineers to build and refine robust data pipelines. - Translate insights into clear, actionable strategies by working closely with product, engineering, and business teams. - Utilize visualization tools like Tableau, Power BI, and Google Analytics to communicate insights and model outcomes. - Build models for production deployment using tools like Spring Boot and GitLab. - Consider partner-specific (JV & Wholesale) and regional variations to fine-tune analytics approaches. - Stay updated with ML/AI innovations and suggest tool or process improvements. - Participate in Agile ceremonies and manage tasks using tools such as Jira. - Document methodologies and maintain version control for all modeling projects. Qualification Required: - Bachelor's degree in Computer Science or a related field. - Master's degree or equivalent advanced degree preferred. - Proven track record of delivering data science projects from ideation to production. - Strong communication skills and the ability to tell compelling stories with data. - Comfortable working with both structured and unstructured data sets. Additional Company Details: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, GlobalLogic has been pioneering the digital revolution by creating innovative and widely used digital products and experiences. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. GlobalLogic prioritizes a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and integrity as key values for employees and clients.,

You will be joining Netradyne, a company harnessing Computer Vision and Edge Computing to transform the transportation industry. As a leader in fleet safety solutions, our rapid growth requires innovative and competitive team members like yourself to drive our success. Your role as a key member of the Program Management function will involve: - Driving new product developments, enhancements, customer deliverables, or internal projects - Ensuring the success of key account deliverables by bridging business requirements with engineering - Responding to technical questionnaires for large prospect RFPs - Communicating extensively with key customer account stakeholders and internal stakeholders - Identifying and removing potential roadblocks to customer success - Developing strong internal and external relationships to improve collaboration - Providing regular updates to senior management on program progress - Understanding technical requirements and proposing architectural solutions - Collaborating internally on architecture decisions - Becoming an expert on Netradyne product and architecture, mapping requirements to key metrics - Managing project schedules considering the iterative nature of machine learning projects - Overseeing data annotation aspects including quality, productivity, and logistics - Communicating with stakeholders on project schedules and quality If your experiences and skills align with the company's needs, you will be contacted directly. Netradyne is an equal-opportunity employer, and recruiting agencies are not to be contacted. To apply for available job openings, visit Netradyne's careers page at Netradyne.com/company/careers. For information on avoiding recruitment scams, visit the Federal Trade Commission's job scams website.,

Role Overview: As an Assistant Manager/Deputy Manager in the Automation Engineering Department of the Production Engineering Division in Gurgaon / Manesar, your primary role involves designing and implementing innovative solutions and emerging technologies to plant equipment. You will be a part of the Industrial Automation Innovation Team, where you will have the creative freedom and team support to explore big ideas to achieve the production goals of the organization. Your focus will be on applying new and emerging technologies to factory equipment to achieve complete digitization of the manufacturing and assembly lines. Key Responsibilities: - Analyze business requirements and design, prototype, and build control systems, software, AI, or IoT solutions for automatic equipment in industrial plants. - Conceptualize, cost, calculate, design electrically, select parts, and prepare engineering BOM. - Utilize Electrical/Electronics Designing tools such as E-Plan and Autodesk Eagle. - Manage projects from start to finish to ensure success based on adherence to scope, budget, customer experience, and timeline standards. - Coordinate with internal stakeholders (mechanical design, electrical design, software, commercial, etc.) and external stakeholders (different manufacturing and assembly plants of MSIL) to ensure timely execution and customer satisfaction. - Identify areas for continuous improvement and drive tactical and strategic enhancements, such as new tech integration, data generation, and energy monitoring, for different automatic equipment like material handling equipment and measurement test equipment. Qualification Required: - Graduation with specialization in BE/B. Tech (Computer Science, Electrical, Electronics, or equivalent from a premier institute). - Post Graduation/Any Other: Certification, experience, or PGD in Data Science, Statistics, or Instrumentation. - Minimum 2 to maximum 6 years of work experience in treasury activities. Additional Details: The role offers you the opportunity to work on industrial automation innovation projects, manage web-based and cloud-native projects in the industrial domain, and gain exposure to various industrial automation and network management technologies. You should have familiarity with new technologies like Edge Computing, AI/ML, IoT, as well as tools like Power BI, Statistical Analysis tools, Python, R, .NET, C#, and AWS Cloud environment. Additionally, you should possess strong strategic thinking, execution orientation, problem-solving skills, and the ability to quickly learn and adapt to new technologies and software. Please note that this job description may be subject to change as per the requirements of the organization.,