ML + GenAI Developer

Role: ML & GenAI Developer

Experience: 8–11 years

Role Overview

The ML & GenAI Developer will build, deploy, and optimize Machine Learning and Generative AI solutions, with a focus on LLMs, RAG pipelines, and Agentic AI components. This role is hands-on and execution focused

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Key Responsibilities

• Develop and deploy ML and GenAI models for real-world applications.
• Build LLM-powered applications, including prompt engineering and RAG-based solutions.
• Implement Agentic workflows under guidance of the Lead/Architect.
• Prepare and process structured and unstructured datasets.
• Integrate ML/GenAI solutions with backend systems and APIs.
• Participate in model evaluation, monitoring, and optimization.
• Follow best practices in code quality, versioning, and deployment.
• Collaborate with cross-functional teams for end-to-end delivery.

Required Skills & Qualifications

• Strong programming skills in Python.
• Hands-on experience in Machine Learning and NLP.
• Experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.).
• Knowledge of RAG pipelines and vector databases.
• Experience with ML libraries: PyTorch / TensorFlow / Scikit-learn.
• Basic understanding of cloud services and containerization.
• Familiarity with Git, CI/CD pipelines, and API development.