remote
Lead AI/ML Engineer - Faculty
ML Engineer
Lead AI/ML Engineer driving responsible AI solutions across diverse industries, leveraging Python, TensorFlow/PyTorch, AWS, and MLOps to build scalable, high‑impact models.
About the role
Key Responsibilities
- Architect, develop, and deploy end‑to‑end AI/ML solutions for clients in government, finance, retail, energy, life sciences, and defence.
- Lead a cross‑functional team of data scientists and engineers, ensuring best practices in model design, validation, and production deployment.
- Design and maintain scalable MLOps pipelines on AWS, integrating data ingestion, feature engineering, model training, and monitoring.
- Collaborate with product and delivery teams to translate business requirements into technical specifications and actionable insights.
- Champion responsible AI principles, ensuring fairness, transparency, and compliance across all projects.
Requirements
- 10+ years of experience in AI/ML engineering with a proven track record of delivering production‑grade models.
- Expertise in Python, TensorFlow, and PyTorch, plus strong knowledge of AWS services (SageMaker, EC2, S3, Lambda).
- Hands‑on experience building MLOps pipelines, model monitoring, and automated retraining workflows.
- Excellent communication skills and ability to mentor junior team members.
- Deep understanding of responsible AI practices and regulatory compliance.
Skills
pythontensorflowpytorchawsmlops