Top AI & Machine Learning Jobs

The AI Data Scientist will develop and deploy AI/ML models, optimize operations, collaborate with stakeholders, and enhance analytics in business processes.

The LLM Inference Deployment Engineer will deploy and scale large language models efficiently on AI accelerators, focusing on model optimization and low-latency inference.

Architect and implement enterprise AI solutions, enable cross-functional teams in AI adoption, guide technology evaluation, and ensure responsible AI practices.

The Lead Data Scientist designs and deploys data science solutions, leads model development, collaborates with teams, and ensures best practices for data governance and model optimization.

The VP will transform R&D operations by embedding AI into product workflows, enhancing efficiency and decision-making across teams. They will lead system redesign, implement AI-driven analytics, and establish KPIs for continuous improvement.

Lead enterprise AI programs, mentor engineers, define quality metrics, and deliver scalable AI solutions while collaborating across teams and advising stakeholders.

The AI Engineer will design, build, and operate AI solutions for Federal clients, ensuring platform portability and compliance with federal standards.

The Senior Analyst drives digital transformation initiatives in external manufacturing, optimizing data flow and leveraging AI technologies to enhance operational efficiency and compliance.

Lead process automation and AI initiatives within the Commercial CGT DTE team by assessing workflows, implementing improvements, and managing change.

The Senior Machine Learning Engineer leads technical direction for ML systems focused on personalization and ranking, overseeing architecture and implementation while mentoring team members.

The role involves designing, building, and scaling AI systems and infrastructure, implementing ML orchestration workflows, and managing production operations for AI services.