This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead ML Engineer – Classical ML & GenAI/RAG based in India.

This is a hands-on technical leadership role focused on building, deploying, and supporting production-grade machine learning solutions. The primary focus is classical Machine Learning and Data Science, with responsibilities spanning model development, data preparation, feature engineering, validation, deployment, and continuous improvement. You will also bring recent experience with Generative AI, LLMs, and RAG applications to complement the core ML work. The role requires robust engineering discipline, including reusable Python and SQL development, automated pipelines, testing, monitoring, and reproducibility. You will work across ambiguous business and technical requirements while collaborating with engineers, data scientists, and business stakeholders. The position also provides opportunities to guide other ML professionals and contribute directly to reliable, scalable AI solutions.





Accountabilities:
- Design, develop, and productionize machine learning solutions that address real-world business problems.
- Build and optimize supervised and unsupervised ML models across classification, regression, forecasting/time-series, clustering, and anomaly detection use cases.
- Own the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, tuning, evaluation, deployment, and ongoing improvement.
- Establish appropriate baselines and evaluate model performance against measurable business outcomes.
- Develop reusable, production-quality Python and SQL code and maintain automated training and inference pipelines.
- Apply software engineering best practices, including unit and integration testing, Git-based version control, code reviews, and reliable documentation.
- Identify and prevent data leakage and other common modeling issues that

📌 Lead ML Engineer – Classical ML (India)
🏢 Jobgether
📍 India