Top Tech Jobs & Startup Jobs

As an MLOps Engineer, you will optimize model serving platforms, monitor system performance, and ensure efficient model inference while collaborating closely with engineers.

Develop high-quality backend systems using NodeJS and frontend applications using ReactJS/NextJS while ensuring stability, mentoring junior developers, and analyzing code for improvement.

This role involves fine-tuning language models, creating evaluation frameworks, deploying AI features, and collaborating with cross-functional teams for impact at scale.

The Machine Learning Engineer will fine-tune and deploy diffusion models, evaluate AI features, and collaborate with product and engineering teams to integrate generative capabilities into applications.

The role involves fine-tuning state-of-the-art diffusion models, curating datasets, optimizing performance, and deploying features into production while collaborating with product and design teams.

Develop high-quality backend and frontend applications, ensure stability, mentor junior developers, and analyze/improve existing code while adhering to best practices.

The Machine Learning Engineer will fine-tune diffusion models, design evaluation frameworks, optimize performance, and deploy AI features into production, ensuring safety and effectiveness at scale.

As a Lead AI Engineer, you will design, train, and deploy production-grade ML models, mentor junior engineers, and influence AI project roadmaps while collaborating with cross-functional teams.

As a Full Stack Engineer AI, you'll integrate ML models into applications, collaborating with cross-functional teams to deliver impactful, user-facing features using full-stack development.

You will design and build AI systems, develop machine learning models, and collaborate with cross-functional teams to improve financial access.