975 Pandas Jobs

As a QA Automation Engineer, your role will involve the following responsibilities: - Demonstrating a strong understanding of software testing principles, methodologies, and best practices. - Using your proficiency in test management and bug tracking tools such as Jira and TestRail. - Leveraging your familiarity with automated testing frameworks and tools. Qualifications Required: - Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). - 3-5 years of experience as a QA Automation Engineer or in a similar role. - Expertise in Python Programming and proficiency in using pandas. Please note that immediate joiners are preferred, and candidates with 3 years of relevant experience are encouraged to apply. It is essential that your experience with pandas is clearly reflected in your resume. Kindly share your updated resume for consideration.,

As a Data Scientist specializing in deep learning models for medical image analysis at a company located in Baner, Pune, India, your role will involve the following key responsibilities: - Lead the design, development, and optimization of deep learning models for tasks like segmentation, classification, and object detection in medical image analysis. - Provide technical leadership and mentorship to junior data scientists and engineers, promoting best practices in research methodology, coding standards, and documentation. - Conduct advanced error analysis, bias assessment, and domain generalization studies to ensure the robustness of models across diverse populations and imaging devices. - Guide data storage, preprocessing, and annotation strategies in collaboration with clinical experts to maintain data quality and clinical validity. - Collaborate cross-functionally with radiologists, regulatory teams, and product stakeholders to align AI development with clinical requirements and compliance standards. Your experience should include at least 3 years of Data Science/Machine Learning experience. Your required skills are as follows: - Strong programming skills in Python and familiarity with data science and image processing libraries such as NumPy, pandas, scikit-learn, opencv, and PIL. - Solid fundamental knowledge of machine learning, computer vision, and image processing. - Hands-on experience with deep learning frameworks like Keras or PyTorch. - Demonstrated experience with CNNs and transformer-based architectures (e.g., ViT, Swin) for segmentation, detection, and classification tasks. - Proficiency in model evaluation and error analysis. - Ability to integrate data science with engineering tasks to smoothly implement AI models into production workflows. - Experience with model optimization techniques like distillation and ONNX conversion for efficient inference. - Familiarity with containerization tools such as Docker. Desired skills for this role include: - Knowledge of healthcare/radiology datasets, DICOM standards, and PACS integration. - Experience in domain adaptation and robustness strategies for cross-site/cross-device generalization. - Experience in scalable backend development for AI applications. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Please note that the company is located in Baner, Pune, India.,

As an experienced Data Scientist, you will be responsible for designing, building, and deploying data-driven solutions to enable strategic business decisions and intelligent automation. Your role will involve combining deep analytical expertise with strong programming and applied machine learning skills to transform complex data into actionable insights and scalable models. Key Responsibilities: - Lead end-to-end development of machine learning and statistical models, including data exploration, feature engineering, training, validation, and deployment. - Collaborate with cross-functional teams (Product, Engineering, Business, and AI) to identify opportunities for data science solutions. - Apply advanced techniques in predictive modeling, NLP, computer vision, and deep learning to address complex business challenges. - Implement Generative AI, LLMs, and LangChain frameworks for intelligent automation, content generation, and conversational AI systems. - Build and optimize ETL data pipelines using Python, SQL, and cloud services (AWS, GCP, or Azure). - Conduct A/B testing, model evaluation, and post-deployment monitoring to ensure accuracy and stability. - Visualize insights and communicate findings to stakeholders through dashboards and storytelling tools (e.g., Power BI, Tableau, Plotly). - Mentor junior data scientists and contribute to establishing best practices in model development, versioning, and MLOps. Required Skills & Technologies: - Programming: Python, R, SQL, PySpark - ML/DL Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras - NLP / GenAI: Hugging Face, LangChain, OpenAI APIs, Prompt Engineering - Cloud Platforms: AWS (SageMaker, Bedrock), Azure ML, GCP AI Platform - Data Tools: Pandas, NumPy, Airflow, Kafka, Snowflake, Databricks - Visualization: Power BI, Tableau, Seaborn, Matplotlib, Plotly - MLOps: MLflow, Docker, Kubernetes, Git, CI/CD pipelines - Strong foundation in statistics, probability, linear algebra, and optimization Preferred Qualifications: - Masters or Ph.D. in Computer Science, Data Science, Statistics, or a related field - Proven experience leading data-driven projects end-to-end in a production environment - Experience with LLM fine-tuning, retrieval-augmented generation (RAG), or semantic search - Excellent communication skills and ability to translate technical findings into actionable business insights,

As a Data Scientist at the Mohali location, you will play a crucial role in the team by focusing on building and optimizing machine learning models for real-world applications. Your responsibilities will include: - Designing, developing, and evaluating both supervised and unsupervised machine learning models - Collaborating closely with data and product teams to deliver comprehensive ML solutions - Analyzing extensive datasets using Python and SQL to generate actionable insights - Continuously enhancing model performance using real-world data - Maintaining detailed documentation of models, experiments, and processes To excel in this position, you are required to have: - A Bachelors's or Masters's degree in Computer Science, Data Science, Statistics, or a related field - Proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.) and SQL - Solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction - Experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs - Strong foundation in statistics, probability, and hypothesis testing Preferred qualifications include familiarity with vector databases, embeddings, fine-tuning, or prompt engineering for LLMs, as well as experience with cloud services like AWS, GCP, or Azure. This full-time, permanent position offers benefits such as paid sick time and Provident Fund. The work schedule includes day and morning shifts, and candidates must be willing to commute or relocate to Chandigarh, Chandigarh. A minimum of 3 years of experience as a Data Scientist or in data science is required, along with proficiency in English. The work location is in person at Chandigarh, Chandigarh.,

Role Overview: You will be a world-class Python Developer who excels in coding, prioritizes performance optimization, and has demonstrated expertise in competitive programming or data challenge platforms such as LeetCode, Codeforces, HackerRank, or Kaggle. This role will involve solving complex engineering problems, developing scalable systems, and collaborating with prominent AI research teams. Key Responsibilities: - Build, test, and optimize high-performance Python systems for large-scale AI and data pipelines. - Design and maintain modular, clean, and production-ready Python codebases. - Collaborate with data, infrastructure, and research engineers to deliver reliable backend components. - Write efficient, maintainable, and testable code with a strong emphasis on algorithms and data structures. - Stay updated with modern Python tools, frameworks, and best practices. Qualifications Required: - Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. - Minimum 4 years of professional experience in writing Python for production environments. - Expert-level proficiency in Python and core libraries like Pandas, NumPy, AsyncIO, FastAPI, or similar. - Demonstrated success on coding platforms, showing top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions. - Profound understanding of data structures, algorithms, and problem-solving at scale. - Experience in system design, clean architecture, and performance optimization. - Proficiency in Machine Learning/Data Science at a working level. Additional Company Details: N/A,

As a Senior Python Developer with expertise in AI/ML frameworks, data engineering, and scalable application development, your role will involve working on high-velocity AI/ML projects. These projects range from predictive analytics and recommendation engines to generative AI platforms, where fast delivery and iteration are key. **Key Responsibilities:** - **Design & Develop:** Build robust Python-based applications for AI/ML, data processing, and automation. - **Model Integration:** Implement, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. - **Data Engineering:** Work with structured/unstructured datasets, build pipelines (ETL, real-time streaming), and optimize data processing. - **Fast Iterations:** Deliver MVPs and Proof-of-Concepts quickly, balancing speed with scalability. - **Cloud Deployment:** Implement and deploy ML workloads on AWS, Azure, or GCP with Docker/Kubernetes. - **Collaboration:** Work closely with data scientists, frontend engineers (React), and product owners to deliver end-to-end AI solutions. - **Automation & Performance:** Optimize ML workflows, implement MLOps (CI/CD for ML), and automate retraining pipelines. - **Mentorship:** Guide junior developers, share best practices, and enforce coding and testing. **Qualifications Required:** - 6 to 9 years of experience in Python development, with at least 5+ years in AI/ML-focused projects. - Strong expertise in Python, FastAPI/Django for API and microservices. - Proficiency in ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. - Experience with data engineering tools (Pandas, Spark, Airflow, Kafka). - Hands-on experience with cloud-native ML deployments (AWS Sagemaker, Azure ML, GCP Vertex AI). - Familiarity with MLOps pipelines (Kubeflow, MLflow, DVC, CI/CD). - Knowledge of SQL & NoSQL databases (Postgres, MongoDB, Redis). - Strong understanding of AI/ML lifecycle - from model training to monitoring in production. If you join us, you will work on cutting-edge AI, ML, and generative AI projects for global clients, experience fast-track career growth in a rapidly scaling IT services company, and have the opportunity to shape AI/ML delivery frameworks for enterprise clients. Competitive compensation and performance bonuses are part of the package.,

Job Description About Capgemini Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Role Overview As a Mid-Level Machine Learning Engineer, you'll develop, deploy, and optimize AI models in production environments. You'll collaborate with senior engineers, work on advanced ML systems, and solve complex AI challenges. Key Responsibilities - Build and fine-tune ML and deep learning models using TensorFlow, PyTorch, Hugging Face. - Optimize LLMs with LoRA, QLoRA, and PEFT techniques. - Integrate Graph Databases (Neo4j, TigerGraph) and Vector Databases (Pinecone, Weaviate, Milvus, FAISS, ChromaDB). - Design neural architectures like Transformers, GANs, Diffusion Models. - Develop NLP, retrieval systems, and multimodal AI solutions. Qualification Required - Bachelors/Masters in Computer Science, Data Science, AI, or related fields. - 6-9 years in ML, Generative AI, NLP, or graph-based AI. - Strong Python skills and ML libraries (NumPy, Pandas, Scikit-learn). - Hands-on LLM fine-tuning and multimodal AI experience. - Knowledge of cloud-based ML deployment and MLOps practices. Additional Details of the Company Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

As an Artificial Intelligence (AI) Machine Learning (ML) Engineer at Spherex, your role will involve developing, improving, and expanding the existing platform of products serving the Media and Entertainment industry. Your primary responsibilities will include creating machine learning models, retraining systems, and working on advanced AI/ML projects in a commercial environment. This position is based in Navi Mumbai, India. Key Responsibilities: - Develop and improve machine learning models - Retrain systems to enhance performance - Utilize expertise in Python with OOPS concepts for project structuring - Implement Natural Language Understanding, Machine Learning, and Artificial Intelligence techniques - Work with libraries such as Numpy, Pandas, Tensorflow, Pytorch, Keras, scikit-learn, Jupyter, spaCy/NLTK - Handle MySQL and NoSQL databases, including neo4j and Cypher - Conduct web development using Django, Flask, etc. - Utilize RESTful APIs with Django - Design and work on end-to-end data science pipelines - Perform unit testing and debugging - Apply statistical skills in distributions, probability, and regression - Use Git and Linux OS for development - Implement ML architectures and approaches like object detection, instance segmentation, classification, regression, RNNs, data fusion - Knowledge of scraping using BeautifulSoup, Scrapy, etc. - Familiarity with ML/DL techniques and tools - Knowledge of ETLPentaho, Docker, Kubernetes, OpenCV, OCR, Yolo is a plus Qualifications Required: - Degree in computer science or software development - 4+ years of experience in advanced AI/ML projects - Experience in analyzing video and audio content using AI/ML - Excellent documentation skills - Effective communication in technical and non-technical terms If you have the passion and skills to contribute to the AI/ML projects in the Media and Entertainment industry, we encourage you to apply for this position.,

As a highly skilled Python and Machine Learning Engineer at GlobalLogic, your role will involve designing, developing, and deploying cutting-edge machine learning solutions. You will have the opportunity to work with a collaborative team, supportive managers, and compassionate leaders who prioritize a culture of caring. **Key Responsibilities:** - Design, develop, and deploy machine learning models and algorithms. - Implement and optimize machine learning algorithms using Python and relevant libraries. - Work with large datasets, including data cleaning, preprocessing, and feature engineering. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Evaluate and improve the performance of machine learning models. - Stay up-to-date with the latest advancements in machine learning and artificial intelligence. - Participate in code reviews and maintain high code quality standards. **Qualifications Required:** - Experience: Minimum 5 years of experience in Python and Machine Learning. - Programming Languages: Strong proficiency in Python. - Machine Learning Libraries: Extensive experience with scikit-learn, TensorFlow, Keras, PyTorch, or similar frameworks. - Data Manipulation: Expertise in data processing and analysis using libraries such as Pandas and NumPy. - Database Knowledge: Experience with SQL and NoSQL databases. - Version Control: Proficient in using Git. - Problem-Solving: Excellent analytical and problem-solving skills. - Communication: Strong verbal and written communication skills. At GlobalLogic, we offer a culture of caring, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance and flexibility to achieve work-life integration, and a high-trust organization where integrity is key. Join us as we collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.,

As an experienced and enthusiastic Python Developer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML), you will be joining our growing team to develop, deploy, and optimize intelligent applications and solutions using Python and ML frameworks. Key Responsibilities: - Design and develop scalable Python applications involving AI/ML capabilities. - Build and deploy machine learning models for classification, prediction, clustering, NLP, etc. - Collaborate closely with data scientists and product teams to integrate ML models into production systems. - Optimize algorithms for performance and scalability. - Maintain and enhance existing ML pipelines and data workflows. - Write clean, reusable, and well-documented code. - Conduct code reviews and provide mentorship to junior developers. Required Skills & Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 3-5 years of hands-on experience in Python programming. - Strong understanding of AI/ML concepts and applications. - Proficiency in libraries and frameworks like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch. - Experience with data preprocessing, feature engineering, model training, and evaluation. - Knowledge of REST APIs, Flask, or FastAPI for model deployment. - Familiarity with cloud platforms (AWS/GCP/Azure) and ML Ops tools is a plus. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Good to Have: - Experience with Natural Language Processing (NLP). - Exposure to deep learning and computer vision projects. - Knowledge of containerization tools like Docker and orchestration with Kubernetes. In addition, you will have the opportunity to work on real-world AI/ML projects in a collaborative and innovative work environment with a flexible work culture. Learning and development opportunities will be provided to help you grow in your career. Benefits: - Private Health Insurance - Hybrid Work Mode - Performance Bonus - Paid Time Off,

As a Python Developer, you will play a significant role in the full project life cycle, from requirement analysis to system design, development, and support if required. Your responsibilities will include: - Developing, maintaining, and supporting existing Python applications - Analysing and converting business requirements as needed - Utilizing software development best practices and appropriate patterns for software solutions - Creating and maintaining technical documentation such as user manuals and guides - Analysing and revising existing system logic difficulties - Ensuring technical knowledge of all phases of application systems is maintained - Demonstrating the ability to work both individually and as a team member In terms of experience, you should have: - 3+ years of experience in Python Development with a focus on coding - Ability to independently design and develop software solutions following development processes, reviews, and integration for releases - Experience in manipulating and working with data in various forms such as text, csv, xml, json, structured, and unstructured - Proficiency in Python with a specific focus on Data Analytics Packages - 2+ years of experience in Pandas, Numpy, Matplotlib & Seaborn library - 1+ years of experience in Bash scripting - 1+ years of experience in Tcl scripting for interaction with EDA software - Basic knowledge in scan test and mbist test and diagnosis - Experience with Siemens Tessent toolchain is a plus - Knowledge of STIL, STDF & TCD files is beneficial - Software Tools/Script development for the Semiconductor industry is an added advantage - Good verbal, written, and interpersonal skills If you are familiar with the mentioned tools and technologies and possess the required experience, this role could be a great fit for you.,

You will be responsible for designing, building, and maintaining ETL pipelines for large-scale structured and unstructured data. Your role will involve working with ClickHouse for fast and reliable querying, aggregation, and performance optimization. Additionally, you will develop and apply similarity algorithms for search, recommendation, and matching use cases. Data cleaning, preprocessing, and analysis to support business and product needs will also be part of your key responsibilities. Collaboration with cross-functional teams to drive data-informed decision-making and contributing to building, testing, and deploying predictive models are crucial aspects of the role. Key Responsibilities: - Design, build, and maintain ETL pipelines for large-scale structured and unstructured data. - Work with ClickHouse for fast, reliable querying, aggregation, and performance optimization. - Develop and apply similarity algorithms (cosine similarity, nearest neighbours, vector embeddings) for search, recommendation, and matching use cases. - Conduct data cleaning, preprocessing, and analysis to support business and product needs. - Collaborate with cross-functional teams to drive data-informed decision-making. - Contribute to building, testing, and deploying predictive models. Qualifications Required: - 3+ years of professional experience in data science, analytics, or data engineering. - Proven experience with ETL pipelines and data transformation frameworks. - Proficiency in SQL and experience with ClickHouse (or similar analytical databases). - Strong understanding of similarity algorithms and their applications. - Hands-on expertise in Python with libraries such as Pandas, NumPy, and Scikit-learn. - Analytical problem-solving mindset and strong logical reasoning abilities. - Ability to communicate complex insights clearly with both technical and non-technical stakeholders. Join Infilon Technologies today and unleash your potential! If you are interested in this opportunity, kindly share your CV at hr@infilon.com. Visit www.infilon.com for more information about the company.,

As a Data Science Engineering Consultant, you will be responsible for owning the development of applications with a focus on correctness, resilience, and quality. You will troubleshoot system problems, conduct impact analysis across different applications within Business Intelligence, and take ownership of the full software development lifecycle. Your role will involve creating detailed technical specifications, test case documents, and regression testing results for all changes. - Design and implement data models to support various business needs, including analytics, reporting, and machine learning - Communicate and collaborate effectively with global teams and provide expert advice in areas such as Data Modelling, Data Warehousing, Data Marts, Data Governance, and Security - Proficient in Python, AI/ML, SQL, and/or any other scripting language - Experience in developing and tuning LLMs or GenAI Models, as well as strong proficiency in libraries such as LangChain, HayStack, and Transformers - Experience in machine learning techniques like XGBoost, Neural Networks, Random Forests, Scikit-Learn, and Pandas - Experience in conducting Exploratory Data Analysis (EDA), integrating/deploying trained models to Analytics Suite, and working with Cloud Data Lake technologies like Snowflake - Working knowledge of Gitlab CI/CD Qualification Required: - Bachelor's degree in computer science or a related field - 5-8 years of relevant industry experience - AI&ML certification is desirable - Working knowledge of analytics applications like Informatica and Tableau - Familiarity with documentation and collaboration tools such as Confluence, SharePoint, and JIRA Additional details of the company: The company follows Agile methodology, requiring candidates to be comfortable working in this framework. Strong interpersonal, communication, and team-building skills are essential for this role. A proactive approach, flexibility to work on multiple tasks, and the ability to contribute in an individual capacity are also necessary.,

You are a skilled and motivated AI and Data Crawling Programmer with 12 years of hands-on experience in building data-driven solutions. You have practical exposure to AI/ML concepts, data crawling, and web scraping, with the ability to design efficient crawlers and contribute to AI model development. Your prior experience in website development or data integration gives you a strong advantage. - Design, develop, and maintain scalable web crawlers and scraping tools. - Collect, clean, and preprocess large datasets to support AI/ML pipelines. - Work with data scientists and engineers to integrate crawled data into AI models. - Research and implement techniques to improve data accuracy, efficiency, and automation. - Monitor and troubleshoot crawling processes, ensuring robust data extraction from complex websites. - Document processes, maintain code quality, and contribute to knowledge sharing across the team. **Required Skills & Qualifications** - Bachelors degree in AI, IT, Computer Science, or a related field. - 1-2 years of professional experience in web scraping, data crawling, or related roles. - Proficiency in Python with experience in libraries such as BeautifulSoup, Scrapy, Pandas, NumPy. - Strong understanding of web technologies (HTML, CSS, JavaScript) and site structures. - Hands-on experience working with RESTful APIs, JSON, and XML. - Good problem-solving, analytical, and debugging skills. - Strong communication skills and ability to work in a collaborative environment. **Preferred Qualifications** - Prior experience in website development or front-end/back-end integration. - Exposure to AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Familiarity with cloud platforms (AWS, GCP, Azure) or data storage solutions. - Ability to optimize crawlers for scalability and performance. (Note: The company name mentioned in the JD is "hirist.tech"),

As a Data Analyst Trainer, you will be responsible for designing and delivering training modules on data analysis tools and techniques. Your role will involve conducting sessions on Excel, SQL, Power BI/Tableau, Python (Pandas, NumPy), and data visualization. You will provide hands-on practice with datasets, assignments, and case studies to ensure effective learning for the participants. Monitoring learner progress, offering feedback, and support as needed will be essential aspects of your job. It is crucial to stay updated with industry trends and tools to deliver relevant and up-to-date training content. Evaluating training outcomes and continuously improving session quality will be part of your responsibilities. - Design and deliver training modules on data analysis tools including Excel, SQL, Power BI/Tableau, Python (Pandas, NumPy), and data visualization. - Provide hands-on practice with datasets, assignments, and case studies for effective learning. - Monitor learner progress, offer feedback, and support as needed. - Stay updated with industry trends and tools for relevant training content. - Evaluate training outcomes and continuously improve session quality. To excel in this role, you should have proficiency in data analysis tools such as Excel, SQL, Python, Power BI/Tableau. Strong presentation and communication skills are necessary to effectively convey complex concepts in a simplified and engaging manner. Prior experience in training or mentoring is advantageous. A certification in Data Analytics or related fields will be beneficial. - Proficiency in data analysis tools such as Excel, SQL, Python, Power BI/Tableau. - Strong presentation and communication skills. - Prior experience in training or mentoring is advantageous. - Certification in Data Analytics or related fields beneficial. This is a full-time, permanent position located in Saibaba Colony, Coimbatore. Fluency in English is preferred for this role. If you are passionate about data analysis and training, and possess the required skills and experience, we encourage you to apply.,

As an AI/ML Trainer at Learning Excellence Center, your role will involve: - Conducting training sessions on Artificial Intelligence and Machine Learning. - Developing training modules and materials for AI/ML courses. - Providing guidance and support to students in understanding and implementing AI/ML concepts effectively. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field. - Proficiency in Python, NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, and other ML frameworks. Location: Surat,

Role Overview: As a Python Data Scientist at GlobalLogic, you will be responsible for designing, building, and deploying machine learning models with a focus on practical implementation of AI solutions. Your duties will include data preparation, model training, deployment, and ongoing maintenance and optimization. Key Responsibilities: - Design and develop machine learning systems and models. - Research and implement appropriate machine learning algorithms and tools. - Select and prepare datasets for training and testing. - Train and retrain models as needed. - Analyze and preprocess data for model training. - Build and maintain data pipelines for efficient data flow. - Identify and address data quality issues. - Deploy models to production environments. - Monitor model performance and identify areas for improvement. - Manage and maintain deployed models. - Evaluate potential risks of AI/ML use cases and implement appropriate safeguards. - Work with data scientists, software engineers, and other stakeholders. - Communicate technical findings and recommendations clearly. - Understand business needs and translate them into technical solutions. - Build and maintain the infrastructure required for machine learning model deployment. - Stay up-to-date with the latest machine learning tools and technologies. - Identify and solve technical challenges related to machine learning model development and deployment. - Analyze model errors and design strategies to overcome them. - Ensure that AI/ML systems are developed and deployed responsibly and ethically. Qualifications Required: - Expert-level proficiency in Python with a strong understanding of its ecosystem for data science and machine learning (e.g., NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn). - Deep understanding and practical experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch). - Solid understanding and practical experience with classical machine learning algorithms and Predictive Analytics. Additional Details about GlobalLogic: GlobalLogic is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, they have been at the forefront of the digital revolution, collaborating 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 is known for being a high-trust organization where integrity is key.,

As a Data Pipeline Developer, you will be responsible for designing and developing data pipelines using Azure Data Factory, Synapse, or Databricks. Your expertise in mathematics, probability, and statistical modeling will be crucial in ensuring data quality and governance. Proficiency in Python for data wrangling and analytics, along with hands-on experience with Azure Data Lake, Blob Storage, and Azure Machine Learning, will be essential for this role. **Key Responsibilities:** - Build, enhance, and maintain data pipelines using Azure Data Factory, Synapse Analytics, and Databricks - Ingest, explore, and preprocess structured and unstructured data from diverse sources - Ensure data quality, transformation, and governance across ingestion and storage layers - Optimize data storage and retrieval within Azure Data Lake Storage and Blob Storage - Perform exploratory data analysis (EDA) and statistical profiling using Azure Machine Learning Notebooks or Azure Databricks - Assess data quality, detect anomalies, and recommend data cleansing and enrichment strategies - Collaborate closely with Machine Learning Engineers and Solution Architects to prepare, deploy, and monitor models in production environments - Design and implement automated retraining and monitoring pipelines to detect model drift and ensure sustained accuracy - Ensure reproducibility of experiments and maintain version control for models, datasets, and scripts - Develop and maintain data documentation and metadata catalogs to ensure transparency and reusability - Support data-driven decision-making by building analytical datasets, KPIs, and performance dashboards **Qualifications Required:** - Proven experience in data pipeline design and development using Azure Data Factory, Synapse, or Databricks - Strong background in mathematics, probability, and statistical modeling - Proficiency in Python (Pandas, NumPy, PySpark, scikit-learn) for data wrangling and analytics - Hands-on experience with Azure Data Lake, Blob Storage, and Azure Machine Learning - Familiarity with ML model deployment workflows and performance monitoring - Experience with data versioning, experiment tracking, and reproducibility frameworks (e.g., MLflow, DVC) Please note that this is a full-time independent contractor position with flexible work hours starting between 12pm to 2pm IST. The equipment will be provided by the company.,

Role Overview: You will support organizational strategy and operations by designing and conducting statistical analysis of business initiatives and experiments. Working closely with business partners, you will identify and address business needs and issues. Applying your expertise in statistics, data mining, and machine learning, you will uncover patterns and insights from business data. Your role will involve designing, developing, and evaluating statistical and predictive models to provide effective business solutions. Additionally, you will communicate your findings and recommendations to management across various departments and support implementation efforts. Key Responsibilities: - Collaborate with business partners to identify opportunities for machine learning applications to improve processes - Define, secure, and prepare datasets for statistical modeling in collaboration with IT and Enterprise Data Management - Build and deploy computer vision models to meet business requirements, such as image classification and object detection - Utilize a variety of statistical techniques like data mining, regression, and cluster analysis to explore data and address business queries - Conduct statistical tests on data and analyze attribute correlations - Develop hypotheses, identify research data attributes, and determine the best approach to resolve business issues - Apply advanced statistical techniques like analysis of variance, t-tests, regression, and simulation to analyze the impact of business initiatives - Create predictive models, such as logistic regression and autoencoders, to align with business partner objectives - Provide insights and recommendations as part of model development and enhancement - Test model performance through preparation of testing scenarios - Prepare and deliver recommendations and findings to business partners - Collaborate with research and analytics teams on model application and implementation - Communicate statistical and predictive model results effectively to support adoption into business activities and decisions - Work closely with business stakeholders to address critical questions - Stay informed about industry best practices and innovative approaches to develop business solutions Qualification Required: - Bachelors, Masters, or PhD degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics - 4+ years of relevant work experience with a Bachelors, 2+ years with a Masters, or 1+ years with a PhD in Data Science, Artificial Intelligence, or Machine Learning algorithm development - Proficiency in programming languages and statistical tools like Python, SAS, R, JMP, SQL server, and data analysis software - Experience with Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly, Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, and statsmodels - Strong understanding of machine learning model stack, tradeoffs, and statistical analysis techniques - Excellent communication skills to collaborate with groups and convey complex data relationships and model results to multiple business partners - Self-directed with the ability to prioritize tasks and manage multi-faceted projects efficiently Note: The company reserves the right to assign a role based on your experience and skillset.,

As a Data Science Intern in our company, you will be responsible for: - Solving Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems. - Using scalable 1D signal processing, machine learning, and deep learning approaches to solve challenging problems. - Developing state-of-the-art machine learning/deep learning algorithms for medical datasets. - Communicating highly technical results and methods concisely and clearly. - Collaborating with researchers in Japan to understand requirements as well as request data. Qualifications required for this role include: - Master/Ph.D. in a relevant field from tier-1 colleges. - 1~2 years of experience with programming languages Python or C++, Pandas. - 1~2 years of experience working with deep learning frameworks, i.e. Pytorch or Tensorflow. - Well acquainted with classical time series problems-algorithms, NLP, Computer vision, etc. - Demonstrated experience with machine learning/deep learning models. - Ability to read and implement research papers from top conferences. - Developing IP (patents) and publishing papers. - Proficiency in Windows, Linux, dockers, PPT, and Git commands is highly required. Preferred skills that would be beneficial for this role are: - Experience working with time-series, text, and sequential datasets in real-world settings. - Proven track record of research or industry experience on Time series problems, NLP, tabular datasets. - Well acquainted with machine learning libraries such as pandas, scikit-learn, etc. - Experience programming in Azure or GCP or other cloud services. - Publications in top-tier conferences will be a plus. This is a remote internship opportunity. If your performance is strong, we will consider converting your role to a full-time position after six months.,