Lead ML Engineer – Classical ML & GenAI/RAG
New
J
JobgetherSecurity & IT
IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLGitMachine LearningData scienceLLMMLOpsGenerative AI
Requirements
- 5+ years of hands-on experience in Machine Learning, Data Science, ML Engineering, or a closely related field.
- Strong practical experience with classical machine learning and proven experience delivering supervised and/or unsupervised ML solutions into production.
- Strong Python programming and SQL skills, with experience writing reusable, production-quality code.
- Hands-on experience developing and maintaining ML training and inference pipelines.
- Demonstrated experience deploying and supporting ML models in production, including monitoring, troubleshooting, and reproducibility.
- Recent hands-on experience developing GenAI, LLM, and RAG applications.
- Experience evaluating and debugging RAG and LLM-based solutions.
- Experience with Git, code reviews, testing, and software engineering best practices.
- Bachelor's or Master's degree in a relevant technical or quantitative discipline.
Responsibilities
- 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, deployment, and ongoing improvement.
- Develop reusable, production-quality Python and SQL code and maintain automated training and inference pipelines.
- Deploy and support ML models in production, taking ownership of monitoring, troubleshooting, versioning, reproducibility, and retraining.
- Develop and support GenAI, LLM, and RAG-based applications alongside classical ML solutions.
- Provide hands-on technical leadership, mentoring, and guidance to ML engineers and data scientists.
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