Senior AI ML Engineer

Minimum Qualification

• 5+ years of overall IT experience, with 3+ years of hands-on experience in AI/ML (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, and 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), GenAI, 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).

Benefits:

• At 3Pillar, we offer a world of opportunity:
• Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. 
• You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. 
• We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
• Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
• We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. 

Additional Desired Experience

• Experience in 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