Machine Learning Engineer – Data Quality Lead
Hyderabad | WFO | 6 Days with Flexibility for Saturday
We are building at the frontier of AI, where the quality of data directly defines the power of Large Language Models (LLMs).
As a Machine Learning Engineer – Data Quality Lead , you will :
- Automate pipelines that ensure reliability, safety, and relevance of training datasets.
- Run proxy fine-tuning and reward modeling experiments to validate quality.
- Design evaluation frameworks (human + LLM-as-a-judge) to measure consistency and alignment.
- Collaborate with annotation teams to drive scalable, high-quality data workflows.
What we’re looking for :
Strong understanding of LLM training & evaluation (SFT, RLHF, reward models).Proficiency in Python, PyTorch, Hugging Face, and evaluation tooling.Ability to translate model diagnostics into actionable insights.Self-starter with a consultative mindset, comfortable working at the intersection of research and client success.Why join :
Work on mission-driven AI projects that push the boundaries of model reliability.Shape data pipelines that directly influence next-generation AI systems.Join a fast-scaling AI-first team with global impact.If you’re passionate about data-centric AI and want to work where data quality meets model excellence , let’s talk.