Machine Learning Engineer
Experience: 2 to 4 years
Work Location: Chennai, Madurai & Coimbatore | Hybrid
Job Summary:
We are looking for a Machine Learning Engineer with 24 years of experience in building and deploying ML-driven solutions, including ML and GenAI-based systems. The role involves working across the full ML lifecycle, from data preparation and model development to deployment, monitoring, and continuous improvement in production environments.
Key Responsibilities:
- Build, train, and optimize machine learning and GenAI models for production use cases.
- Work with large-scale structured and unstructured datasets (text, images, embeddings, tabular data).
- Implement feature engineering, data preprocessing, and model evaluation pipelines.
- Develop and deploy ML/GenAI models. Integrate ML solutions with backend systems and applications.
- Work with embedding models, vector databases, or retrieval-based ML systems where applicable. Monitor model performance, latency, and quality in production.
- Collaborate closely with data engineers, backend engineers, and product teams.
- Document model behavior, assumptions, and deployment workflows.
Required Skills & Qualifications:
- 2+ years of hands-on experience as a Machine Learning Engineer.
- Solid understanding of machine learning concepts and algorithms.
- Experience with frameworks such as PyTorch, TensorFlow, scikit-learn, Langchain, LangGraph etc.
- Familiarity with NLP, embeddings, or deep learningbased models.
- Hands-on experience with GenAI systems (LLMs, prompt engineering, RAG pipelines, fine tuning)
- Experience with data processing using Pandas, NumPy, and SQL.
- Understanding of model deployment, inference, and performance optimization.
- Experience using Git and working in Linux-based environments.
- Experience with cloud platforms such as AWS / GCP / Azure.
- Experience with Docker and containerized deployments.
- Strong communication skills with the ability to explain ML/GenAI concepts clearly to both technical and non-technical stakeholders.
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