262 Reinforcement Learning Jobs - Page 11

This role blends technical expertise, strategic vision, and leadership to develop scalable AI-enabled solutions that drive business growth and process optimization. Key Responsibilities Leadership and Strategy Define and implement the AI vision and roadmap, aligning AI strategy with business objectives to deliver domain-led AI-powered productized services. Build and scale a high-performing team of data scientists, engineers, and researchers. Collaborate with senior leadership to integrate data science initiatives into broader business strategies. Oversee end-to-end AI/ML project delivery, ensuring scalability, efficiency, and client success. Communicate complex AI concepts to non-technical s...

What you will be doing This role will be responsible for analyzing large, complex datasets and identifying meaningful patterns that lead to actionable recommendations. This role will be performing thorough testing and validation of models, and supporting various aspects of the business with data analytics. Responsible for the design, development, testing, deployment, maintenance, and improvement of machine learning system software. Leverages big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Asserts that production ML tasks are working properly and ensures that data science...

Job Description The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal Applied Scienti...

Responsibilities: ML Architecture, Strategy & Innovation Define and drive the ML strategy across business domains, identifying high-impact opportunities for automation, optimization, and prediction. Architect scalable ML systems and reusable frameworks that support real-time inference, batch processing, and continuous learning. Lead the evaluation and adoption of cutting-edge ML techniques (e.g., foundation models, causal inference, reinforcement learning) to solve complex business problems. End-to-End ML Lifecycle Ownership Lead the design, development, and deployment of advanced supervised and unsupervised models for use cases such as churn prediction, demand forecasting, fraud detection, ...

Job Title: AI Engineer Location: Onsite. Sangamner, Maharashtra About the Role: We are looking for a passionate and experienced AI Engineer to join our growing team. In this role, you will develop and deploy advanced AI and machine learning models that power our next-generation products and services. You'll collaborate with cross-functional teams to solve challenging problems, from data preprocessing and model design to deployment and optimization. Responsibilities: Design, build, and deploy machine learning and deep learning models. Collaborate with data scientists, product managers, and engineers to implement AI solutions into production. Work with large datasets; perform data cleaning, pr...

Job Summary This position will work with cutting edge technology, deliver high quality solutions across various industries, and oversee team(s) on engagements that range in size and scope. This position will receive continuous career development opportunities, given the size and potential of client engagements. This role will support actualizing of a business strategic vision by understanding the current state of technology, performing gap analyses, and developing plans to close the gaps. This position will ultimately own consulting relationships across multiple clients and technologies. The Senior AI engineer will work with our clients to define and implement impactful AI-powered projects. ...

Bachelors or Masters degree in Computer Science, AIML/Data Science, Statistics or a related field only. Preferred Institution: NIT (Any) Responsibilities: Architect and deploy scalable Large language models (LLM) and transformer-based architectures. Implement MLOps/LLMOps best practices for CI/CD, automated model retraining, and lifecycle management. Develop advanced AI RAG applications, fine-tune models with PEFT/LoRA, RLHF. Productionize RAG pipelines: embedding strategy, vector-DB design (Weaviate/Pinecone/Chroma). Hybrid search, evaluations and guardrails. Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs). Optimize inference: quan...

Bachelors or Masters degree in Computer Science, AIML/Data Science, Statistics or a related field only. Preferred Institution: NIT (Any) Responsibilities: Architect and deploy scalable Large language models (LLM) and transformer-based architectures. Implement MLOps/LLMOps best practices for CI/CD, automated model retraining, and lifecycle management. Develop advanced AI RAG applications, fine-tune models with PEFT/LoRA, RLHF. Productionize RAG pipelines: embedding strategy, vector-DB design (Weaviate/Pinecone/Chroma). Hybrid search, evaluations and guardrails. Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs). Optimize inference: quan...

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - School of Economics Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertis...

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Technical skills ProgrammingPython, R, SQL ML algorithms Statistical ML algorithms Deep Neural Network architectures Model ensembling Generative AI models ML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectu...

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effe...

Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What Youll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and a...