Data Scientist Ml Ai Python in Bengaluru, India - Jobeax
Vacancy description
Data Scientist Ml Ai Python in Bengaluru, India
Exxon Mobil
India, Bengaluru
Data Scientist Ml Ai Python in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization to research, develop, and deliver data science tools,models, or software for solving challenging business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, monitoring, data quality). Apply data science methods, machine learning tools, visualization and/or statistical techniques along with domain knowledge to generate actionable insights and provide optimized recommendations. Time Series Analysis, Computer Vision, Natural Language Processing, Generative AI, Commercial Analytics. Data Science, Computer Science, IT, Chemical Engineering, Mechanical, Civil, Materials, Aerospace, Geoscience/Geophysics, Applied Math or related disciplines with a minimum GPA of 7.0. 5+ years of relevant experience in developing, delivering, and validating production-ready AI/ML solutions. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, causal analysis). Practical experience in the full machine learning lifecycle from problem formulation, data acquisition, data cleaning to model building and deployment at enterprise https://jobeax.com/link/AsTDTp6i8kJTEE83 in Python or R, ML frameworks (PyTorch, TensorFlow, scikit-learn) and libraries (NumPy, pandas). Experience with software engineering practices, agile methodologies and version control (Git). Applied Data Science Statistical Modeling & Analysis Machine Learning & Deep Learning Generative AI, NLP, Computer Vision Time Series Analysis & Forecasting End‑to‑End ML Project Lifecycle Python/R Programming Skills Software Engineering & Agile Framework Preferred Experience
Prior experience with oil & gas, commercial domain, supply chain, production systems, wells or subsurface domain is highly desirable. Experience working with Azure Databricks or other data science frameworks. Experience with mathematical modeling, physics-based simulators, scientific computing and numerical methods would be an added advantage . Machine Learning Applied Software Engineering for Data Nothing herein is intended to override the corporate separateness of local entities. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Sustainability, Software Engineer, Chemical Engineer, Computer Science, Energy, Engineering, Research, Technology
... hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, function calling, AI evaluation, voice AI/conversational AI and human-in-the-loop ...
... of innovation, bridging the gap between experimental AI research and production-grade enterprise applications. Working closely with cross-functional teams of data scientists, domain experts, and business stakeholders, you will translate ambiguous requirements into robust, scalable AI architectures that significantly enhance ...
... visual document understanding, and feature extraction from visual data.- Solid understanding of transformers, NLP, or LLM based architectures.- Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.- Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines.- ...
This is a remote position. This is a generic application. This is a Paid Service for Training with assured job placement options (remote jobs). Training - Data Analytics (ML) / Data Visualization / AI ML Python AI ML, Python Training - IT Cybersecurity VAPT, SOC IR/Splunk/ELK, DevSecOps/AppSec, DFIR/Forensics Training - ...
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...
... contributing to the advancement of our AI capabilities. Key Responsibilities: Design, develop, and implement generative AI applications using Python and GCP's AI/ML services (e.g., Vertex AI, GenAI APIs, Google Kubernetes Engine, Cloud Functions, BigQuery). Collaborate with product managers, data scientists, and other engineers ...
... report on the pending issues and follow up to closure Key Skill SQL / Python / Java / Data Governance Drive for results and follow up for closure. Attention to details Operations management Good oral and written communication skills Knowledge of Data Management and Data Governance concepts Metadata, lineage, data quality, etc. ...
... RAG, Agentic AI & End-to-End DeploymentWe are looking for a hands-on Gen AI Engineer who can design, build, deploy, and continuously improve production-grade AI solutions. The ideal candidate should have strong experience across RAG, AI Agents, LLMs, vector databases, Python, FastAPI, cloud deployment, and MLOps/LLMOps.Key ...
... RAG, Agentic AI & End-to-End DeploymentWe are looking for a hands-on Gen AI Engineer who can design, build, deploy, and continuously improve production-grade AI solutions. The ideal candidate should have strong experience across RAG, AI Agents, LLMs, vector databases, Python, FastAPI, cloud deployment, and MLOps/LLMOps.Key ...
... Pipeline Support: Architect, build, and maintain scalable data pipelines specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine ...
... digital twin solutions. Support pre-sales teams in positioning Omniverse and digital twin offerings. Work with AI/ML, IoT, and visualization teams to integrate data streams and simulation models into Omniverse environments. Lead integration of Omniverse with Unity/Unreal, Python APIs, and AI-driven analytics tools. Build ...
... team productivity - including AI-assisted coding, automated data validation, and GenAI-driven analysis workflows- Contribute to the development and testing of AI-powered product features, such as natural language interfaces, intelligent data exploration, or automated reporting- Prototype and evaluate new AI/ML approaches ...
... management SnapLogic — building and maintaining integration pipelines and connecting heterogeneous source systems dbt — writing modular, tested transformations; Data Modelling — dimensional modelling, medallion/layered architectures, normalisation vs. Strong SQL and at least one scripting language (Python preferred) AI-AUGMENTED ...
... hands-E xperience in AI and Data Engineering with strong expertise in Azure OpenAI, Azure AI Foundry, Agentic AI, RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, ...
... of the pipeline Improve and extend existing data products; Own pipeline monitoring, alerting, and maintenance to keep the platform reliable and performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance ...
... PySpark, MLflow). - Proficiency in SQL and programming languages like Python or Scala. - Experience with Azure cloud data services. - Solid understanding of data modeling, data governance, security. Why join us? Work with a passionate and innovative team in a fast-paced, growth-oriented environment. Gain hands-on experience ...
... strategies, DBU budget alerts, and compute right-sizing recommendations to optimise the platform spend within approved budgets. Partner with Data Scientists, AI Engineers, Data Engineers, and Business stakeholders to productionise models rapidly without sacrificing quality or compliance. Establish and evangelise MLOps ...
... Storage, Dataflow, Pub/Sub, and Airflow (Composer). BigQuery: Strong SQL skills with expertise in query optimization, partitioning, clustering, and cost management. Airflow (Composer): Proven ability to build, schedule, and monitor ETL/ELT pipelines using Apache Airflow. Programming: Proficiency in Python or Java for data processing, ...
... the CISO. 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles. - Hands-on experience in Python with strong proficiency in libraries such as Pandas, NumPy, SciPy, Matplotlib, ...