Top Hybrid Machine Learning Engineer Jobs

The Senior Architect will lead client projects focusing on AI/ML solutions, including model design, implementation, and deployment across various platforms, while mentoring junior team members.

As a Senior AI Engineer, you'll develop and scale production LLM services, maintain AI agents, and collaborate on AI platforms while optimizing performance and ensuring compliance with privacy standards.

The role involves developing machine learning models for robotics in medical imaging, collaborating with engineers and clinicians to prototype and deploy systems for autonomous surgical interventions.

Lead and grow the Machine Learning Engineering team, set technical direction, define team roadmap, and collaborate across product and engineering teams.

As a Senior Software Engineer in AI Products, you will develop AI-driven features, enhance automation tools, and build scalable ML infrastructure, impacting customer experiences and operational efficiency.

The Staff Machine Learning Engineer will design and implement ML systems, build scalable architectures, collaborate with data teams, and drive technical strategy for AI applications.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As a Senior Developer, build and deliver scalable ML/AI applications on AWS, collaborating with teams to meet business needs and continuously improve solutions.

As an ML Engineer at Hilbert, you will build and deploy innovative machine learning systems for enterprise clients, translate business needs into modeling decisions, and own projects from conception to production deployment, focusing on B2C environments.

The Machine Learning Engineer will design, build, and maintain scalable ML systems, optimize ML pipelines, implement MLOps, and collaborate with teams to deploy models into real-time products.