Senior Lead Machine Learning Engineer AI & Intelligent Platforms Location: (Redmond WA or Dallas TX preferred) Type: Full-Time / Contract Interview: L1- teams & final F2F Candidate must be on BNIs w2 USCs & GCs only
Role Summary HCL Technologies is hiring a Senior Lead ML Engineer to design and deliver enterprise-scale AI/ML solutions. The role combines hands-on engineering and technical leadership to build scalable production-ready AI systems across finance risk customer experience and operations.
Key Responsibilities
Lead ML data and software engineering teams on AI initiatives
Design scalable ML/AI architectures and production systems
Build solutions using LLMs RAG vector databases semantic search and AI agents
Develop ML pipelines for training deployment monitoring and retraining (MLOps)
Implement CI/CD model governance and responsible AI practices
Optimize large-scale data pipelines and distributed systems on cloud (Azure/AWS/GCP)
Evaluate and adopt emerging AI technologies
Requirements
Bachelor s in CS Data Science Engineering or related field
8 years in large-scale data/ML systems
4 years coding in Python/Java/Scala
3 years in production ML deployment
2 years in technical leadership
Strong knowledge of ML lifecycle cloud and distributed systems
Senior Lead Machine Learning Engineer AI & Intelligent Platforms Location: (Redmond WA or Dallas TX preferred) Type: Full-Time / Contract Interview: L1- teams & final F2F Candidate must be on BNIs w2 USCs & GCs only Role Summary HCL Technologies is hiring a Senior Lead ML Engineer to desi...
Senior Lead Machine Learning Engineer AI & Intelligent Platforms Location: (Redmond WA or Dallas TX preferred) Type: Full-Time / Contract Interview: L1- teams & final F2F Candidate must be on BNIs w2 USCs & GCs only
Role Summary HCL Technologies is hiring a Senior Lead ML Engineer to design and deliver enterprise-scale AI/ML solutions. The role combines hands-on engineering and technical leadership to build scalable production-ready AI systems across finance risk customer experience and operations.
Key Responsibilities
Lead ML data and software engineering teams on AI initiatives
Design scalable ML/AI architectures and production systems
Build solutions using LLMs RAG vector databases semantic search and AI agents
Develop ML pipelines for training deployment monitoring and retraining (MLOps)
Implement CI/CD model governance and responsible AI practices
Optimize large-scale data pipelines and distributed systems on cloud (Azure/AWS/GCP)
Evaluate and adopt emerging AI technologies
Requirements
Bachelor s in CS Data Science Engineering or related field
8 years in large-scale data/ML systems
4 years coding in Python/Java/Scala
3 years in production ML deployment
2 years in technical leadership
Strong knowledge of ML lifecycle cloud and distributed systems