Lead ML Engineer

Requirements:

• 5+ years of hands-on experience in Machine Learning / Artificial Intelligence.
• Strong proficiency in Python and experience with ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar.
• Strong understanding of Machine Learning algorithms, statistics, model evaluation, and optimisation.
• Experience building and deploying production-grade ML models and pipelines.
• Experience with Generative AI / LLMs is highly preferred.
• Knowledge of NLP, Deep Learning, RAG, embeddings, vector databases, or AI agents is a strong plus.
• Experience with MLOps, model deployment, monitoring, CI/CD, Docker, Kubernetes, or cloud platforms such as AWS/GCP/Azure.
• Strong understanding of software engineering principles, system design, and scalable architecture.
• Excellent problem-solving, communication, and leadership skills.

Good to Have:

• Experience working with LLM-based applications and Agentic AI.
• Hands-on experience with LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or similar frameworks.
• Experience with vector databases such as Pinecone, FAISS, Milvus, or Weaviate.
• Experience with cloud-based ML platforms and distributed ML systems.
• Previous experience leading ML projects or mentoring engineers.