Top AI & Machine Learning Jobs

Leads and mentors an engineering team building AI enablement platforms, developer tooling, automation, reusable accelerators, and shared engineering systems. The role remains hands-on with coding, code review, prototyping, architecture, production AI adoption, evaluation, governance, observability, resilience, and operational improvement. It partners across engineering, security, product, and leadership to define ownership, strategy, infrastructure investment, and measurable adoption outcomes.

Build and orchestrate agentic AI systems with AgentCore and LangGraph, productionize machine learning models, and develop scalable AWS cloud infrastructure. Partner with Data Scientists to move research code into production, implement MLOps, observability, monitoring, and alerting, and research emerging AI technologies. The role includes code reviews, technical specification development, Agile collaboration, and possible on-call support for production systems.

Lead and mentor a team of data scientists to apply statistical analysis, NLP, and machine learning to solve business problems; partner with business and technology teams to align strategy, build and scale data products, monitor solution performance, run experiments and simulations, and communicate insights to technical and non-technical stakeholders.

Leads Bedrock’s enterprise data, analytics, and AI strategy, roadmap, governance, platforms, integrations, reporting, and automation. Oversees technical teams, evaluates and implements Microsoft data platforms, translates business needs into solutions, manages AI programs, and establishes data quality, security, compliance, adoption, and performance standards across the organization.

Designs and deploys AI/ML-powered image analysis software for high-content microscopy and translational research. Develops deep learning algorithms for segmentation, feature extraction, classification, and phenotypic analysis; builds scalable imaging pipelines; ensures software quality, reproducibility, metadata integrity, and FAIR data practices. Collaborates with scientists and technical teams, evaluates emerging technologies, mentors junior engineers, and contributes to scientific publications and research communications.