Top AI & Machine Learning Jobs

Lead Novanta's enterprise AI vision: define strategy, prioritize use cases, evaluate foundation models, partner with engineering and data teams, oversee governance and model lifecycle, define infrastructure needs, and advise senior leadership to deliver measurable business impact.

Build and maintain AWS-based AI infrastructure and services for ML workflows and real-time inference. Implement CI/CD pipelines, integrate LLM/GenAI components, ensure observability, write high-quality code, collaborate cross-functionally, and prototype ML algorithms to turn forensic data into investigation leads.

Administer enterprise AI governance framework, coordinate intake/assessment of AI use cases, maintain AI inventory, support model risk oversight, develop reporting/dashboards, interpret regulatory expectations, and coordinate exams and audits to ensure compliant, risk-based AI deployment.

Drive company-wide adoption of AI tools and workflows: design and deliver training, provide hands-on support, monitor adoption, build documentation and playbooks, pilot AI-assisted features with product teams, and present impact findings to stakeholders.

Sell AI-powered ecommerce solutions end-to-end: prospect, qualify, present POCs, negotiate and close deals. Translate AI/data capabilities into business value, build client relationships, prepare tailored proposals, and coordinate with product and technical teams to ensure successful solution adoption.

Assist the AI engineering team with NLP research, language model development, data annotation, experiments, and model evaluation. Support multilingual translation, content moderation, analytics, and other language-related features for a football-focused social and messaging platform.

Lead the AI roadmap, architect the Physical AI stack, build a specialized team in robotics, and ensure production outcomes related to yield, throughput, and uptime.

Lead development of AI models for gene regulation analysis using computational genomics expertise; manage cloud-based workflows and large-scale genomic data integration.

Tenure-track assistant professor to develop applied AI and data-science research for agricultural systems, collaborate with Extension to translate tools for stakeholders, pursue external funding, teach, and engage in interdisciplinary teams to improve productivity, resource efficiency, and environmental stewardship.

As a Machine Learning Engineer, you'll build and enhance features for a search stack, design ML/NLP solutions, and implement an experimentation framework while ensuring code quality.