Role : Machine Learning Engineer - AI ResearchLocation : BangaloreEmployment Type : Full-timeExperience : 3+ YearsAbout the Role : We are looking for a Machine Learning Engineer - AI Research with strong hands-on experience in deep learning, large language models, and model development. The role involves building, fine-tuning, evaluating, and improving AI models for complex, high-accuracy applications.You will work closely with product, engineering, and domain experts to solve ambiguous AI problems and take solutions from research and experimentation to production.Key Responsibilities : - Model Training & Fine-Tuning : Train and fine-tune deep learning and LLM models using domain-specific datasets.- Model Evaluation : Design benchmarks, evaluation frameworks, metrics, and error-analysis processes to measure model quality and reliability.- Reinforcement Learning : Develop and implement RL/RLHF and preference-optimization approaches such as PPO, DPO, or similar techniques.- Research & Experimentation : Conduct structured experiments across models, datasets, architectures, and training approaches while maintaining reproducible experiment records.- Problem Solving : Independently identify, scope, and solve open-ended ML problems while balancing accuracy, latency, and infrastructure costs.- Productionization : Translate successful research experiments into reliable, production-ready ML systems.- Cross-Functional Collaboration : Work with product, engineering, and domain experts to convert real-world requirements into effective AI solutions.What We're Looking For :



- 3+ years of hands-on experience building, training, and deploying deep learning models in research or production environments.- Robust experience with deep learning and LLMs, including model training and fine-tuning.- Practical experience with data curation, model training infrastructure, and large-scale experimentation.- Experience designing and implementing ML evaluation and benchmarking frameworks.- Working knowledge of RL, RLHF, PPO, DPO, or preference optimization techniques.- Strong software engineering and problem-solving fundamentals.- Experience with experiment tracking tools such as Weights & Biases (W&B;), MLflow, or similar platforms.- Ability to independently work on technically ambiguous problems and take ownership from idea to implementation.- Robust analytical and communication skills.Preferred : - Experience with NLP, Legal AI, document intelligence, or LLM applications.- Exposure to AI applications in regulated or high-stakes domains.- Experience taking ML research prototypes into production environments.What You'll Get : - Opportunity to work on AI-first products involving LLMs and advanced machine learning.- High ownership and the opportunity to work on challenging, open-ended ML problems.- Direct collaboration with experienced product, engineering, and domain teams.- Opportunity to contribute across the full lifecycle - from research and experimentation to production deployment.- Competitive compensation based on experience and expertise. (ref:hirist.tech)

📌 Machine Learning Engineer - AI Research (Bengaluru)
🏢 whitetable.ai
📍 Bengaluru