6 T Tests Jobs in Bhadravati

As a Data Scientist, you will play a crucial role in utilizing your expertise in various tools and techniques to derive insights from data. Your primary responsibilities will include: - Utilizing Classification techniques such as Decision Trees and SVM, Distance metrics like Hamming, Euclidean, and Manhattan Distance, as well as Forecasting methods like Exponential Smoothing, ARIMA, and ARIMAX. - Implementing ML Frameworks including TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet for model development. - Conducting Statistical analysis and computing using tools like Python, PySpark, R, R Studio, SAS, and SPSS. - Applying Regression models like Linear and Logistic Regression, and conducting Hypothesis Testing using T-Test and Z-Test. - Familiarity with Probabilistic Graph Models and tools such as KubeFlow and BentoML. Qualifications required for this role include proficiency in the mentioned tools and techniques, along with a strong background in data analysis and machine learning. Additionally, experience with Langraph and Agentic AI would be beneficial. Kindly note that the Job Description does not include any additional details about the company.,

You will be responsible for driving, collaborating, mentoring, and coaching a small to medium-sized team (with a minimum of 8 members) by providing technical expertise in coding, debugging, and content development. You should be able to self-manage to deliver results without guidance and inspire team members to seek technical assistance from you. Your role will involve being an expert in bug monitoring, tracking bug lifecycle, triage, and isolation. You will also be proficient in coding modules, libraries, low-level debugging, code analysis, and code review. Additionally, you will need to perform component selection, isolation, and RCA in the event of a failure. Adherence to the latest versions of feature documents, source code, binaries, testing, development, and debugging is essential. You will mentor teams in Automation/Debug to enhance their effectiveness in their roles and develop the overall team expertise on low-level coding, debugging, and content development. Thorough analysis of requirements to provide measurable inputs in terms of ETA, SLA, TAT, and milestones will be part of your responsibilities. Being flexible and adaptable to changing, varied working environments, shifts, and extended working hours is required. You should have a thorough understanding of the tools and applications used in the process and be able to suggest new tools and process enhancements. - Expert at bug monitoring, tracking bug lifecycle, triage, and isolation - Expert at coding modules, libraries, low-level debugging, code analysis, and code review - Perform component selection, isolation, RCA in the event of failure - Adherence to the latest versions of feature documents, source code, binaries w.r.t. testing, development, and debugging - Adhere to project timelines and communicate effectively over emails and conversations - Mentor teams in Automation/Debug to become more effective in their roles - Develop overall team expertise on low-level coding, debugging, and content development - Thorough analysis of requirements to provide measurable inputs in terms of ETA, SLA, TAT, and milestones - Train teams to analyze traces/core dump for defects reported internally or by the customer to determine the root cause - Flexible and adaptable to changing, varied working environments, shifts, and extended working hours - Thorough understanding of tools and applications used in the process. Suggest new tools and process enhancements - Expertise in Hardware Engineering with strong knowledge of C, C++, C#, Python, and relevant languages - Strong Knowledge of Automation Programming or Debugging techniques and methodologies - Knowledge in hardware design for automation purposes - Understanding of microcontroller/processors 8/16/32 DSP/SoC based hardware architectures - Knowledge in protocols interfaces I2C, SPI, UART, USB, Display, PCIe, Type-C, Wi-Fi, BT - Experience with debugging tools like Function Generator, Protocol analyzer, Oscilloscope, Putty, Tera term, and Emulators - Knowledge in hardware and product development lifecycles - Knowledge in Agile methods for development, debug, testing, implementation, and execution - Knowledge in electronic testing methodology and standards - Experience with Source Code Management (SCM) tools like GIT - Proficient with MS Office and Visio - Understanding of automation framework or system debug lifecycle The company focuses on developing state-of-the-art tools such as compilers, libraries, and performance analysis tools. The products enable developers to unlock the performance of a broad product line from laptops to supercomputers. The team is seeking software professionals to work on implementing tools ranging from performance and power profilers, code design assistance tools, and correctness checkers for compute, graphics, media, and AI applications. Joining this team will offer an excellent opportunity to work with cutting-edge technologies and have exciting prospects for future career growth in a large international company.,

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.,

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 Freelance Data Analyst / Statistician, you will play a crucial role in conducting statistical analyses, designing tests, managing data, developing visualizations, and communicating findings to various audiences. Your responsibilities will include: - Conducting descriptive and inferential statistical analyses on structured and unstructured datasets. - Designing and executing statistical tests (e.g., t-tests, chi-square, ANOVA, regression analysis) to evaluate hypotheses and support business objectives. - Cleaning, preprocessing, and managing data using tools such as SPSS, Python, or Excel. - Developing clear and insightful data visualizations and effectively communicating findings to both technical and non-technical stakeholders. - Documenting methodologies, procedures, and results in a clear, structured, and reproducible format. To excel in this role, you should meet the following qualifications: - Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. - Proven experience in statistical analysis and data modeling. - Proficiency in SPSS, with a strong working knowledge of Python and Excel. - Excellent attention to detail and strong written and verbal communication skills. - Ability to work independently and manage freelance projects remotely. In addition to the above role and responsibilities, the company can offer you: - Fully remote freelance opportunity with flexible working hours. - Involvement in meaningful, data-driven projects. - Collaborative and supportive virtual work environment.,

Role Overview: You have an exciting opportunity to join the CO&D WKO Data Management team as a Statistical Data Analyst within the Commercial & Investment Bank. Your role involves utilizing statistical techniques to deliver actionable insights and support data-driven decision-making. You will collaborate with business partners, data engineers, and other analysts to translate business questions into statistical problems and deliver clear, concise results. Key Responsibilities: - Apply statistical techniques such as regression, hypothesis testing, time series analysis, and clustering to analyze business data and uncover insights. - Calculate descriptive statistics including mean, median, mode, variance, standard deviation, and percentiles to summarize data characteristics. - Conduct inferential statistical analyses using hypothesis testing, confidence intervals, p-values, t-tests, chi-square tests, and ANOVA. - Utilize probability theory by working with probability distributions, Bayes theorem, and random variables to model uncertainty. - Perform regression analysis with linear, logistic, and multivariate models, including thorough model diagnostics. - Implement sampling methods such as simple random, stratified, and cluster sampling, and determine appropriate sample sizes. - Analyze time series data for trends, seasonality, and forecasting using ARIMA and related models. - Demonstrate proficiency in R, Python (NumPy, pandas, SciPy, statsmodels), SAS, SPSS, and Stata for statistical analysis. - Partner with business stakeholders to translate business questions into structured analyses and actionable recommendations. - Clean, organize, and validate data to ensure the accuracy and reliability of analytical results. - Develop dashboards and reports in Tableau for effective data visualization and business consumption, and use Python for advanced analytics and automation. Qualifications Required: - Bachelors or Masters degree in Statistics, Mathematics, Data Science, Economics or related field. - 6+ years of experience in data analytics, business intelligence, or a similar role. - Strong foundation in Statistics (hypothesis testing, probability, regression, experimental design, sampling methods). - Proficiency in SQL for data extraction and manipulation. - Ability to work with large, complex datasets and draw actionable insights. - Excellent problem-solving, logical thinking, and business acumen. - Strong communication skills to explain technical findings to non-technical stakeholders.,

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

About ExcelR: ExcelR is a leading edtech company founded by distinguished alumni of IIM and ISB, dedicated to transforming careers through world-class upskilling. Recognized twice with the Deloitte Fast 50 Award, ExcelR is one of Indias fastest-growing tech companies. With an employee size of 450+, we have a strong PAN India and USA presence. With a thriving community of 300,000+ learners, ExcelR delivers impactful learning experiences across the globe. We proudly collaborate with premier institutes like IIT Madras, IIT Jammu, IIT Roorkee, and BITS Pilani, offering cutting-edge programs. Job Title: Data science Trainer Job Description: We are looking for a seasoned professional with in-depth expertise as a Data scientist. The ideal candidate should have a proven track record of hands-on experience with related field technologies, including managing complex projects, mentoring teams, and driving operational excellence in the field. Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets Key Responsibilities: Develop, deliver, and continuously enhance training content and educational programs. Mentor and train junior in-house trainers, ensuring high-quality instruction across teams. Supervise the planning, execution, and evaluation of internships, assignments, and training programs. Innovate and maintain cutting-edge educational materials and content. Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design If youre an innovative, highly skilled professional with a passion for both technology and education, wed love to hear from you! Conditions:  Batch Management: Handle 3 batches consecutively, with assignments based on business requirements. This could include weekday/weekend and classroom batches.  Demos & Webinars: Conducting demo sessions and webinars.  Doubts Clarification Sessions: Organizing sessions to address and clarify students' doubts.  Course Material Preparation: Develop various teaching materials including presentations, assignments, projects, quizzes, and other relevant content.  Project Mentoring: Offer guidance and mentor-ship for student projects.  Placement Preparation: Assist students in preparing for placements, including conducting mock interviews.  Customer Query Handling: Addressing queries from potential customers.  Additional Responsibilities: Need to undertake other tasks as per the business requirement.

Capgemini is Hiring on Below Requirment. Job Title: Machine Learning Engineer Location:Bangalore Experience:6-9 years Qualifications and Skills: Technical Expertise: Solid hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face building deep learning & machine learning models. Proficient in fine-tuning LLMs (Large Language Models) using LoRA, QLoRA, and PEFT techniques to optimize resource efficiency. Strong knowledge of Graph Databases (e.g., Neo4j, TigerGraph) and their integration with machine learning systems. Experience working with Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS or ChromaDB). In-depth understanding of neural network architectures, including Transformers, GANs, and Diffusion Models. Solid expertise in NLP, retrieval systems, and multimodal AI integration (text, images, audio). Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn). Experience with deploying machine learning models on cloud platforms like AWS, GCP, or Azure. Soft Skills: Strong analytical and problem-solving abilities to tackle complex AI challenges. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to mentor junior developers and collaborate effectively within a cross-functional team. Self-driven with the ability to work independently on projects and tasks, while aligning with team goals. Education and Experience: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields. 2-5 years of experience in machine learning, generative AI, NLP, or graph-based AI solutions. Preferred Skills (Nice-to-Have): Familiarity with multimodal AI techniques (combining text, images, and other data types). Knowledge of MLOps practices, including tools for continuous deployment and monitoring of AI models. Published research or open-source contributions in generative AI or graph-based AI. Awareness of ethical AI principles and data privacy regulations.  

You will be joining ERM as a Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability, health, and safety domains. Your role will involve guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. ERM combines deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. The Digital Services offered by ERM span the full information management lifecycle, from portfolio assessment and strategy to technology evaluation, design, testing, and implementation of enterprise-scale systems and cutting-edge technologies. You will work in a collaborative, innovation-driven environment that emphasizes technical excellence, scalability, and cross-functional teamwork to deliver solutions addressing complex business challenges. - Lead the design, development, and deployment of AI/ML solutions, accelerators, and frameworks focusing on sustainability, ESG, and workplace safety. - Hands-on experience in AI Agent development using Python, LangGraph, LangChain, and Model Context Protocol. - Architect LLM- and BERT-based applications ensuring scalability, robustness, and security in enterprise environments. - Act as a trusted advisor, engage with senior stakeholders, shape AI/ML strategy, and deliver impactful solutions. - Manage end-to-end AI/ML lifecycle from solution scoping and data strategy to model development, MLOps, and production deployment. - Mentor and guide junior AI/ML professionals, fostering capability development within the team. - Collaborate with management consulting teams, domain experts, and technology architects to ensure business alignment and technical excellence. - Drive innovation initiatives, identifying opportunities to apply Generative AI, Responsible AI, and sustainability-focused analytics. - Contribute to thought leadership through publications, internal assets, and client workshops. - Ensure adherence to data governance, ethics, and responsible AI principles in all solution deliveries. - Education: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, Engineering, or related fields. PhD is a plus. - Experience: 6-8 years of AI/ML project delivery, including at least 2-3 years in leading teams or architecting solutions. - Proven experience in consulting or client-facing environments with a track record of delivering AI/ML strategy and execution for enterprise clients. - Strong executive-level communication and presentation skills with the ability to influence CxO stakeholders. - Demonstrated expertise in solution architecture, MLOps, and scaling AI/ML solutions in production. - Deep understanding of sustainability, ESG frameworks, or health & safety data ecosystems is strongly preferred. - Excellent interpersonal, leadership, and team management skills. - Strong business acumen with the ability to bridge strategy, technology, and client needs. Preferred technical Skills & Tools: - AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face Transformers (BERT, GPT, LLaMA, etc.). - Generative AI/LLM Engineering: Fine-tuning, prompt orchestration, RAG, embeddings, vector databases (FAISS, Pinecone, Azure Cognitive Search). - Microsoft Ecosystem: Azure AI, Azure ML, Azure OpenAI Service, Microsoft Fabric, Power BI, Azure Synapse. - MLOps & Cloud Deployment: MLflow, Kubeflow, Docker, Kubernetes, GitHub Actions, Azure DevOps. - Data & Analytics: Python, R, SQL, Spark, Databricks. - Knowledge of Responsible AI principles, model governance, bias/fairness testing. - Familiarity with ESG reporting standards (GRI, SASB, ESRS) and safety analytics is an advantage. Thank you for considering ERM as your potential employer.,

As a motivated and highly skilled Data Scientist joining the Flight Safety team, your role will be crucial in utilizing advanced analytics and machine learning techniques to drive safety-related decisions and enhance operational processes. You will primarily focus on analyzing time-series and multivariate data to detect anomalies, identify patterns, and create predictive models that contribute to improving flight safety and minimizing risks. - Conduct exploratory data analysis to reveal insights from complex datasets - Apply advanced anomaly detection techniques to spot irregularities and potential safety risks - Develop machine learning and deep learning models like ANN, RNN, and CNN for predictive safety analytics - Support data-driven decision-making within the field of flight safety using big data analytics tools and AI/ML frameworks - Design custom algorithms tailored to meet specific domain requirements with precision and reliability - Write efficient, maintainable code in Python and MATLAB for data processing, modeling, and algorithm deployment - Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives To qualify for this role, you should: - Hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field - Have certification in Data Science - Possess a minimum of 6 years of practical experience in data science, machine learning, or analytics roles - Have a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics - Demonstrate proficiency in data analysis, exploratory data analysis, anomaly detection (time-series & multivariate data), machine learning, deep learning, big data analytics, and AI-driven risk forecasting - Showcase strong programming skills in Python and MATLAB - Exhibit expertise in custom algorithm design, data collection, preprocessing, and integration By joining the team, you will have the opportunity to contribute to cutting-edge data science projects in the aviation safety sector, work in a collaborative and innovation-oriented environment, and be part of a mission-critical team dedicated to predictive safety and operational excellence. (Note: The additional details of the company were not present in the provided job description),

As a Data Scientist at our company, your role will involve the following key responsibilities: - Business & Strategy Alignment - Proactively engage with business stakeholders, product managers, and domain experts to deeply understand key organizational challenges and strategic goals. - Formulate and scope data science initiatives, defining clear objectives, success metrics, and a technical roadmap that directly addresses identified business requirements. - End-to-End Model Development & Deployment - Design, prototype, build, and validate machine learning and statistical models from scratch, without reliance on pre-packaged solutions. - Implement and manage MLOps pipelines within Azure Machine Learning to ensure reproducible model training, versioning, testing, and continuous deployment into live operational environments. - Collaborate with DevOps and engineering teams to ensure algorithms run efficiently and scale reliably within the cloud environment. - Data Engineering & Feature Management - Execute complex data ingestion, exploration, and feature engineering tasks, applying rigorous statistical methods and domain knowledge to raw and disparate datasets. - Ensure data integrity throughout the modeling lifecycle, performing extensive Exploratory Data Analysis (EDA) and cleaning to prepare high-quality inputs. - Advanced AI & Innovation (Preferred/Plus) - Explore, experiment with, and deploy large language models (LLMs) and other Gen AI techniques to create new products or optimize existing processes. - Investigate and prototype intelligent software agents capable of autonomous decision-making, planning, and tool use, moving beyond simple predictive models. - Code Quality & Collaboration - Write clean, well-documented, and efficient Python code, adhering to software engineering best practices, including unit testing and code reviews. - Mentor junior team members and contribute to the growth of the team's overall ML/AI knowledge base. Required Qualifications: - Education: Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field. - Programming Mastery: 5+ years of professional experience leveraging Python for data science, including deep expertise in the PyData stack (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Cloud ML Platforms: Proven, hands-on experience building and managing ML models and MLOps workflows specifically using Azure Machine Learning services. - Statistical Rigor: Strong background in statistical modeling, experimental design (A/B testing), and model validation techniques. - Data Skills: Expert proficiency in SQL and experience working with large-scale, high-velocity data, including ETL/ELT processes and data visualization. Preferred Qualifications (A Significant Plus): - Generative AI Experience: Practical experience fine-tuning, RAG-ifying, or deploying modern Large Language Models (LLMs). - Agent Development: Knowledge of agentic frameworks and experience designing multi-step, tool-using autonomous AI workflows. - Experience with other cloud platforms (AWS Sagemaker, GCP Vertex AI) is beneficial. - Demonstrated ability to write production-level, highly optimized code for critical systems.,

As a Data Scientist in our company, you will have the following responsibilities: - Designing, developing, and deploying sophisticated machine learning models to solve complex business challenges. - Building and optimizing end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Driving Generative AI initiatives, creating innovative products and solutions. - Conducting in-depth analysis of large, complex datasets to generate actionable insights and recommendations. - Working closely with cross-functional stakeholders to understand business requirements and deliver data-driven strategies. In addition to the above key responsibilities, you will also be expected to: - Write clean, efficient, and maintainable code in Python and at least one other language (e.g., C#, Go, or equivalent). - Participate in code reviews, ensuring adherence to best practices and coding standards. - Stay abreast of the latest industry trends, tools, and technologies in Data Engineering, Data Science, and Generative AI. - Document processes, models, and workflows to ensure knowledge sharing and reproducibility.,

As a Data & Machine Learning (ML) Engineer at VIWELL, you will be instrumental in enhancing VIWELL's personalization and intelligent recommendation systems. Your role will involve collaborating with various teams to deliver high-quality events, features, eligibility rules, ranking logic, and safe GPT rewrites that aim to enhance user engagement and personalization within VIWELL's ecosystem. Your efforts will directly contribute to VIWELL's mission of scaling to millions of users through intelligent, privacy-preserving, and high-performance data and ML systems. **Key Responsibilities:** - Define event schemas and data contracts in collaboration with Product and Analytics for high-quality tracking and feature availability. - Engineer and maintain data features in Databricks with robust quality checks, lineage documentation, and automated orchestration. - Design and implement eligibility rules and ranking logic for safe personalization and recommendations. - Build guardrails and validation systems like blocklists, allowlists, rewrite validators, and pseudonymization frameworks for safe GPT-assisted rewrites. - Design A/B experiments, exposure logging, and statistical frameworks to support iterative product improvements. - Integrate ML and personalization systems with backend APIs for optimized response times below 300 milliseconds. - Collaborate with cross-functional teams to ensure clarity, alignment, and seamless execution of data and ML solutions. - Stay updated on evolving AI safety principles, data quality standards, and best practices in ML engineering. - Continuously enhance feature pipelines, data freshness, ranking performance, and validation accuracy. **Qualifications & Experience:** - Bachelor's or master's degree in computer science, Engineering, Data Science, Machine Learning, or related technical field. - 5-7 years of experience in data engineering, machine learning engineering, or applied ML roles. - Hands-on experience with Python, SQL, Databricks, MLflow, and modern data engineering tooling. - Experience with dbt or similar transformation frameworks and strong understanding of data contracts and quality checks. - Proven experience in designing ML ranking systems, eligibility rules, or recommendation logic with a safety-first mindset. - Familiarity with A/B testing, statistical experimentation, and product analytics. - Exposure to privacy-by-design, pseudonymization, and security best practices in data workflows. - Ability to thrive in a fast-paced environment and manage multiple concurrent priorities. - Excellent communication, problem-solving, and stakeholder management skills. **What We Offer:** - Competitive salary package based on experience. - Opportunity to build impactful, safety-focused AI and ML systems used by millions of users. - Collaborative, innovation-driven, and mission-led work culture. - Career growth opportunities within the fast-evolving AI, wellness, and technology landscape. If you meet the criteria and are ready to contribute to a purpose-driven company, send your CV to career@viwell.com and be part of transforming well-being across the region!,

Role Overview: As a Data Scientist - II at our company in Udaipur, you will be responsible for leading and executing end-to-end machine learning projects. Your role will involve conducting in-depth research, staying updated on the latest advancements in Data Science, and translating cutting-edge ideas into real-world solutions. You will also be required to mentor junior data scientists, design and optimize ML and deep learning models, collaborate with cross-functional teams, and contribute to technical decision-making and innovation within the team. Key Responsibilities: - Lead and execute end-to-end machine learning projects, from research and experimentation to deployment in production. - Conduct in-depth research, stay updated on the latest advancements, and translate cutting-edge ideas into real-world solutions. - Read, evaluate, and implement research papers, especially in the Generative AI and deep learning domains. - Mentor and guide junior data scientists and interns through project execution and best practices. - Design, develop, and optimize ML and deep learning models to solve complex business problems. - Collaborate with cross-functional teams to transform data into insights and models into scalable products. - Contribute to technical decision-making and drive innovation within the team. Qualifications Required: - 5 to 7 years of experience in Data Science or Machine Learning roles. - Strong foundation in Statistics, Probability, and ML fundamentals. - Advanced proficiency in Python and hands-on experience with data science workflows. - Practical expertise with ML/DL libraries such as Scikit-learn, TensorFlow, Keras, and PyTorch. - Strong understanding of ML algorithmsLinear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. - Deep experience with Transformer architectures and working with Large Language Models (LLMs). - Hands-on experience with LLM application frameworks such as LangChain or LlamaIndex. - Proven ability to implement theoretical models into clean, production-ready code. - Demonstrated experience delivering high-impact, end-to-end AI/ML solutions. (Note: No additional details about the company were included in the job description provided),

As a Data Scientist at our company in Thiruvananthapuram, you will be expected to have 5 to 9 years of hands-on experience in data science projects, preferably across different domains. Your role will involve utilizing strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions. You should demonstrate a proven ability to translate complex business problems into data science use cases with practical impact. Your key responsibilities will include: - Building and validating machine learning models, including classification, regression, and survival analysis. - Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, as well as SQL for data querying and analysis. - Experience in handling both structured and unstructured datasets, with expertise in exploratory data analysis (EDA) and data cleaning. - Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders. - Familiarity with version control tools such as Git/GitHub and collaborative development workflows. - Having a deployment mindset, with an understanding of how to build data products that are usable, scalable, and maintainable. The company values individuals with a solid foundation in data science and a passion for applying their skills to real-world problems.,

Role Overview: You will be joining Winbold, a startup focused on an AI-driven investment platform. As a Data Science and Machine Learning Engineer, you will be responsible for hands-on tasks such as feature engineering, model training, and building predictive models for real-time predictions and forecasts. You should have expertise in ML Packages like sklearn, xgboost, and timeseries models, along with experience in feature engineering, MLFlow for model experimentation, model visualization, and deploying models in Cloud and hosted environments at scale. Developers with AI-driven mindset are encouraged to apply. Immediate joining is required, and candidates with notice period should not apply. Key Responsibilities: - Hands-on experience in feature engineering, model training, and building predictive models - Proficiency in ML Packages such as sklearn, xgboost, and timeseries models - Experience in feature stores and MLFlow for model experimentation - Ability to visualize models effectively - Deployment of models in Cloud and hosted environments at scale Qualifications: - No specific degree requirement - Looking for a hands-on developer who can efficiently complete tasks (Note: Omitting the "Additional Information" section as it does not contain relevant details about the job role),

You will be responsible for analyzing large datasets to extract insights, predict trends, and support business decisions using data science methodologies including machine learning, predictive modeling, statistics, and advanced analytics. Key Responsibilities: - Understand business problems and translate them into analytical approaches. - Develop ML and statistical models, hypotheses, and experiments for decision support. - Apply data mining, predictive/prescriptive modeling, and advanced analytics techniques. - Design data pipelines, augmentation, and scalable model workflows for automation. - Create dashboards and visualizations to communicate findings effectively. - Collaborate with cross-functional teams to integrate models into production. Qualification Required: - 3-5 years of experience in data science and ML model development. - Stay updated with new tools, frameworks, and methodologies in data science and ML. - Strong communication skills. The company, TekWissen Group, is an equal opportunity employer supporting workforce diversity.,

As a Data Scientist Project Trainer at our company in Hyderabad, you will play a crucial role in designing, developing, and delivering real-world data science projects while providing training and mentorship to aspiring data scientists. Your responsibilities will include: - Designing and developing real-time data science projects covering all phases of the data science lifecycle. - Executing projects from data collection to model deployment with proper documentation. - Ensuring all projects include complete executable files and datasets. You will also be responsible for: - Delivering hands-on training sessions on data science concepts, tools, and technologies. - Guiding students/professionals in real-world project implementation and problem-solving. - Providing mentorship to learners and supporting them in understanding complex algorithms and methodologies. Additionally, your role will involve: - Creating detailed project documentation including problem statements, methodologies, code explanations, and outcomes. - Developing training materials, presentations, and case studies for various data science topics. The ideal candidate for this position should possess: - Strong knowledge of Data Science, Machine Learning, Deep Learning, and AI. - Proficiency in Python, R, SQL, and data visualization tools (Power BI, Tableau, etc.). - Hands-on experience with ML/DL frameworks like TensorFlow, PyTorch, Scikit-Learn. - Expertise in data wrangling, feature engineering, model building, and deployment. - Experience working with real-time projects and large datasets. - Strong ability to create project documentation and executable files. - Excellent communication and presentation skills. - Prior experience in training or mentoring is preferred. Preferred qualifications include: - Bachelors/Masters degree in Data Science, Computer Science, Statistics, or a related field. - Minimum 2-6 years of industry experience in Data Science & AI. - Prior experience as a trainer in a corporate or educational setting is a plus. If you are passionate about teaching, project development, and mentoring future data scientists, we encourage you to apply for this Full-Time position located in Hyderabad. Email Id: naseeruddin.m@excelr.com,