Lead AI ML Engineer

We build breakthrough software products that power digital businesses. We are an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Our key differentiator is our Product Mindset. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset?s core values ? Minimize Time to Value, Solve For Need, and Excel at Change. Our teams apply this mindset to build digital products that are customer-facing and revenue-generating. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through market launch and beyond. In 2024, 3Pillar Global India was named as a ?Great Place to Work? for the fifth year in a row based on how our employees feel about our company, collaborative culture, and work/life balance - come join our growing team Key Responsibilities: Lead the design and implementation of AI/ML models and solutions for complex business problems. Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents. Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn. Apply deep learning and transformer-based architectures (e.g., BERT, GPT, etc.) for NLP and vision tasks. Implement computer vision solutions using OpenCV and related tools. Collaborate with cross-functional teams to integrate AI models into production systems. Apply MLOps best practices and manage CI/CD pipelines for model deployment. Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams. Required Skills & Qualifications: 8+ years of total IT experience, with at least 4+ years in AI/ML development. Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience with NLP libraries such as spaCy, Hugging Face Transformers, etc. Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques. Hands-on experience with Generative AI, LLMs, and Agentic AI. Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment. Familiarity with computer vision frameworks (OpenCV, etc.). Excellent problem-solving and communication skills, with the ability to lead and mentor junior engineers.