Senior Machine Learning Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- Design features and labeling strategies; improve data quality with heuristic and programmatic techniques (e.g., weak supervision, active learning, synthetic data generation via LLMs).
- Train, tune, and compare models (tree-based, linear/GLM, deep learning, seq2seq, recommendation,LLMs) with reproducible pipelines.
- Build and tune approriate information retrieval for RAG use cases (e.g., dense and sparse retrieval), engineering the right context for the task.
- Implement rigorous offline metrics and online A/B experiments; define guardrails and SLOs for quality, latency, and cost.
- Develop efficient API endpoints for model inference and ensure they are scalable and production ready (e.g., containerization, load balancing, auto-scaling, monitoring, logging, alerting, and incident response) and meet product requirements.
- Experience with AI developer productivity tools like Windsurf, Cursor, and prompt tuning is required, along with the ability to apply AI techniques to practical engineering problems.
- We are seeking individuals who can quickly prototype, optimize prompts, and develop scalable, impactful AI-driven solutions.
- 5+ years of hands on experience in ML/AI engineering, with a strong focus on building and deploying AI/GenAI applications.
- Proficiency in Python (ML libraries, GenAI/LLM frameworks) and Java (enterprise application development, OOP).
- Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs/APIs (OpenAI, Anthropic, etc.).
- Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
- Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization is a plus or nice to have.
- Strong skills in prompt engineering and designing agentic reasoning pipelines.
- Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics.
- Proven ability to debug and optimize inference pipelines for performance and cost efficiency.
- Strong problem solving skills with the ability to work in fast paced, agile development environments.
- Bonus: Contributions to open-source projects, blogs, or technical papers in LLM/GenA