Top Tech Jobs & Startup Jobs

As an ML Solutions Architect, lead technical discussions, design ML architectures, ensure scalability and feasibility, and build client relations. Responsible for architecting solutions using generative AI and overseeing project execution.

The AI Enablement Lead facilitates AI adoption in enterprises, delivering training programs, coaching sessions, and developing curriculum while engaging closely with customer leadership.

Design and implement end-to-end ML solutions, mentor junior engineers, optimize model performance, and stay updated on ML technologies and methodologies.

As a Senior Solution Owner, you will lead AI and data solution strategies, oversee AI/ML product lifecycles, guide data migrations, and collaborate with cross-functional teams to ensure successful delivery and innovation.

As an AI/ML Solutions Architect, lead pre-sales discussions, design ML architectures, ensure client satisfaction, and guide technical teams while collaborating on ML solutions.

The Senior ML Engineer will create and improve ML models, collaborate with teams, monitor models in production, and maintain documentation.

The role involves creating and improving ML models, collaborating with teams, developing experimentation roadmaps, and ensuring optimal performance of production models.

Design and implement ML solutions, build scalable pipelines, mentor engineers, collaborate on projects, and contribute to ML practices. Stay updated on ML research and propose improvements.

The role involves technical leadership, mentorship, and hands-on work in machine learning projects, ensuring architectural soundness, mentoring engineers, and advanced coding practices.

Lead AI product strategy and execution, manage data migration initiatives, oversee Agile processes, and collaborate with stakeholders to drive product success.