AI/ML engineer

Job Title

Technical Leadership Set engineering standards, conduct code reviews, and mentor a team of AI/ML engineers across the full development lifecycle

Model Development Design, build, and optimize machine learning and deep learning models for production use cases including NLP, computer vision, and predictive analytics

Architecture & Infrastructure Define scalable AI/ML system architecture; oversee data pipelines, model training, and deployment infrastructure on cloud platforms (Azure, AWS, GCP)

MLOps & Deployment Establish and maintain CI/CD pipelines, model versioning, monitoring, and retraining workflows to ensure reliability in production

Stakeholder Collaboration Partner with product managers, data scientists, and business teams to translate requirements into technical solutions with measurable outcomes

Evaluation & Governance Define model evaluation frameworks; ensure solutions meet performance, fairness, safety, and compliance standards

Innovation Stay current on emerging AI trends and frameworks; identify opportunities to adopt new tools and techniques that advance team capabilities

Preferred Qualifications Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) Experience with LLMs, prompt engineering, and generative AI platforms Hands-on knowledge of cloud-based AI/ML services (Azure ML, AWS SageMaker, Vertex AI) Familiarity with vector databases, RAG pipelines, and API development Prior experience leading engineering teams in an Agile/Scrum environment

Essential Skills: Lead the end-to-end design, development, and deployment of AI/ML solutions, driving technical strategy and guiding engineering teams to deliver scalable, production-grade AI systems aligned to business objectives.