Job Description

Job Title: AI Researcher (SFT, RLHF, RL Environments & Model Evaluation)

About the RoleWe are seeking an AI Researcher with strong hands-on experience in Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), RL environments (gyms), and model evaluation. The role focuses on training, aligning, and evaluating models—particularly for STEM, coding, robotics, reasoning, and real-world problem-solving capabilities.You will help build systems that not only perform well on benchmarks, but also reason effectively, generalize to real-world scenarios, and align with human intent.Key ResponsibilitiesDesign and implement SFT pipelines for training models on STEM subjects, coding tasks, robotics concepts, logical reasoning, and real-world problem-solvingDevelop and execute RLHF workflows, including preference data collection, reward modeling, and policy optimizationCreate and maintain RL environments / gyms for reasoning tasks, coding challenges, robotics simulations, and applied real-world scenariosTrain models to improve step-by-step reasoning, tool use, and structured problem solvingDesign and run model evaluation frameworks covering:STEM and mathematical reasoningCode correctness, efficiency, and robustnessRobotics task success and planningReal-world decision-making and generalizationPerform error analysis to identify reasoning failures, hallucinations, or misalignmentCollaborate with engineers, educators, and domain experts to curate high-quality training and evaluation datasetsTranslate research insights into scalable, production-ready training and evaluation systemsDocument experiments, results, and best practices with strong reproducibility standardsRequired QualificationsStrong background in machine learning, reinforcement learning, or AI researchHands-on experience with SFT and RLHF, especially for reasoning-intensive tasksExperience building or using RL gyms / environments, including task-driven or simulation-based setupsSolid understanding of model evaluation, including automated metrics and human-in-the-loop evaluationProficiency in Python and ML frameworks such as PyTorchAbility to reason deeply about model behavior, generalization, and alignmentExperience training or evaluating models on STEM, coding, or real-world problem domainsPreferred / Nice-to-HaveExperience with LLMs, multimodal models, or foundation modelsBackground in robotics, simulation environments, or embodied AIFamiliarity with program synthesis, code evaluation, or formal reasoningExperience with large-scale or distributed trainingInterest or experience in AI safety, alignment, or robustnessPublications, open-source contributions, or applied research experienceWhat We OfferOpportunity to work on cutting-edge AI reasoning and alignment challengesDirect impact on real-world AI capabilities in STEM, coding, and roboticsCollaborative, research-driven environmentCompetitive compensation and benefits

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- At least 15+ years of experience in selling IT Services in Tier-1 or Tier-2 competitive organizations.
- Strong knowledge of global delivery model (GDM) and methodologies. Should be familiar with cross selling various service lines for customers
- Ability to present and interact at all levels, and have consultative sales capability.
- Ability to work and collaborate across other teams in various service lines and anchor together for the account.
- Exposure to delivery, sales or pre-sales roles will be required
- Should have managed a multi-million USD account, across various geos.
- Strong Account Management - building and managing client relationships at the all levels.
- Carry targets on revenue, bookings and OM.
- Get involved in resolving any people management issue within Wipro teams
- Generating leads by interacting with the customers in various lines of business to expand our footprint.
- Presenting and publishing the proposals (proactive ones as well as responses to RFP/RFIs)
- Interacting with Procurement and Supplier relationship team from customer organization and maintain smoother flow of contracts, invoices and payments.
- Work closely with senior customer team (CIO, VPs and Directors) to suggest, advice, evaluate, and prime business growth
 

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