Role: ML & GenAI Developer
Experience: 48 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.
