Lead AI/ML Engineer

Lead end-to-end AI/ML and GenAI solution design and implementation. Architect scalable ML systems and data pipelines. Design enterprise GenAI applications leveraging GPT-4, Claude 3, and open-source LLMs. Define and implement RAG architectures and multi-agent systems. Lead fine-tuning strategies and LLM evaluation frameworks. Oversee deployment on Amazon Web Services. Establish MLOps best practices and CI/CD standards. Mentor and manage AI/ML engineers. Collaborate with stakeholders to translate business problems into AI solutions and ensure Responsible AI practices and compliance standards. Job Requirements Minimum 5 years of experience in AI/ML engineering. Proven experience leading AI/ML teams. Deep understanding of LLM architectures and transformer models. Experience with distributed training and model optimization. Strong knowledge of data engineering and scalable system design. Proficiency in Kubernetes, Docker, and cloud-native architecture/AWS. Experience building enterprise-scale GenAI platforms. Knowledge of MLOps frameworks and model governance. Experience in regulated industries (FinTech, HealthTech, etc.). Publications or patents in AI/ML are a plus. Bachelor's/Master's degree in Computer Science, AI, Machine Learning, or a related discipline.