Lead AI ML Engineer

• Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
• Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
• Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
• Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.

Minumum Qualification

• 8+ years of experience building and deploying AI/ML models (ML, NLP, deep learning).
• Proven experience delivering ML solutions from concept to production.
• Strong leadership and ability to communicate technical concepts to non-technical stakeholders.
• Proficient in Python with experience using PyTorch, TensorFlow, Scikit-learn.
• Hands-on experience with data preparation, feature engineering, model training, and tuning (Pandas, Spark).
• Experience with NLP, computer vision, LLMs (APIs or fine-tuning), Agentic AI, and MCP-based architectures.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps/CI/CD tools (MLflow, GitHub Actions).
• Knowledge of vector embeddings, vector stores, RAG, and LLM frameworks (LangChain, LlamaIndex).
• Experience with model monitoring and performance tracking tools.

Additional Desired Experience

• Led teams building GenAI, LLM, Agentic AI, or MCP-driven applications.
• Experience with vector databases (FAISS, Pinecone) and Hugging Face ecosystem.
• Built reusable AI frameworks, platforms, or internal tooling.
• Contributions to open-source projects, research papers, or technical blogs.