Lead the design, development, and deployment of AI/ML and Generative AI solutions, ensuring scalability, security, and performance across global environments
Job Summary
Lead the design, development, and deployment of AI/ML and Generative AI solutions, ensuring scalability, security, and performance across global environments.
Define standards for LLMOps/MLOps, model lifecycle management, governance, and compliance while embedding responsible AI principles.
Act as the AI thought leader, collaborating with business stakeholders, cloud architects, and product teams to deliver transformative solutions.
Matching Summary
Lead the design, development, and deployment of AI/ML and Generative AI solutions, ensuring scalability, security, and performance across global environments.
Skills & Requirements
Must-have
AI/ML and Generative AI solutions
MLOps and LLMOps standards
agentic AI systems and RAG pipelines
cloud ecosystems (AWS or Azure)
production-grade AI systems delivery
responsible AI principles
Nice-to-have
innovation-driven culture
AI thought leader
transformative solutions
scaling AI applications
Key Requirements
Bachelor's degree in Computer Science, Engineering, or related field
9+ years of experience in AI/ML engineering, data science, or platform leadership
3+ years in a leadership capacity
Hands-on experience with Docker, Kubernetes, Airflow, MLflow, LangChain, or Semantic Kernel
Working knowledge of multi-cloud integration
Proven track record of delivering production-grade AI systems