Top AI & Machine Learning Jobs

The Lead Machine Learning Engineer designs and builds ML systems for data processing, utilizing NLP, LLMs, and cloud services to innovate AI solutions and lead cross-functional teams.

The Principal AI Engineer leads technical direction and architecture for AI services, focusing on scalable platforms, LLM, ML inference, and CI/CD automation. Responsibilities include designing systems, ensuring reliability, and collaboration with teams for AI product delivery.

Lead the design and operation of ML systems for data collection and processing. Mentor teams, oversee technical direction, and ensure system reliability and efficiency. Responsible for cloud deployments and integrating advanced AI technologies.

As a Machine Learning Engineer, you will design and deploy ML-driven data pipelines, focusing on extracting and enriching unstructured data and improving data quality through collaboration with cross-functional teams.

The Senior Machine Learning Engineer will lead the design, development, and optimization of ML/NLP solutions for data extraction, enhance system reliability, and collaborate with cross-functional teams to improve product impact and performance.

Design, build, and scale ML and GenAI systems. Own end-to-end ML solution lifecycle, including deployment, monitoring, and continuous improvement. Mentor junior engineers and ensure scalable architecture and system reliability.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

The AI Engineer role involves prototyping AI solutions, collaborating with cross-functional teams, validating workflows, and documenting technical learnings.