Lead AI ML Engineer

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI What It's Like to Work at 3Pillar: At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance. 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. Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together. Regards Rajan Paul(Linkedin Profile) 3Pillar Global 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.