We are seeking an experienced AI/ML Python Engineer with a strong background in machine learning model development, multimodal deployment, and hands-on work with modern AI frameworks. The ideal candidate will design and optimize ML pipelines, work on generative and agentic AI solutions, and collaborate with stakeholders to drive impactful AI initiatives.
Key Responsibilities
- Lead and execute multimodal model deployment end-to-end.
- Design, build, and optimize machine learning pipelines for production environments.
- Develop AI/ML solutions using Python and advanced machine learning libraries.
- Implement core Python concepts, including OOPs, modules, data structures, algorithms, decorators, and design patterns.
- Build and fine-tune models using NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, and MLflow.
- Work with visualization tools like Matplotlib.
- Develop generative AI and agentic systems using LangChain, LangGraph, LlamaIndex, FAISS/Pinecone, and OpenAI/Anthropic/Gemini APIs.
- Collaborate with stakeholders to define requirements and deliver scalable AI solutions.
Must-Have Skills
- AI & Machine Learning model development expertise.
- Strong Python engineering and software development fundamentals.
- Experience with multimodal model deployment.
- Knowledge of ML tools and frameworks: NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow.
- Experience with Generative AI and Agentic AI frameworks (LangChain, LangGraph, LlamaIndex).
- Familiarity with vector databases like FAISS/Pinecone and major LLM APIs (OpenAI, Anthropic, Gemini).
- Strong stakeholder management skills.