MLOps Professional Services Engineer (Cloud & AI Infra)
Description For MLOps Professional Services Engineer (Cloud & AI Infra)
Join a pioneering AI infrastructure company that's revolutionizing the artificial intelligence landscape through its cutting-edge AI-centric cloud platform. As an MLOps Professional Services Engineer, you'll be at the forefront of designing and implementing large-scale machine learning workflows for prestigious clients including Fortune 500 companies and innovative startups.
The role combines technical expertise in cloud infrastructure, MLOps, and distributed systems with hands-on client interaction. You'll work with state-of-the-art technology, including the latest NVIDIA GPUs, and be part of a team operating one of the most powerful commercial supercomputers. The position offers the flexibility of remote work while collaborating with an international team on high-impact projects.
Your responsibilities will span from optimizing ML pipeline performance to developing automation tools and integrating various ML frameworks. The ideal candidate brings 3+ years of MLOps experience, strong technical skills in Kubernetes, containerization, and Python, plus a passion for AI and transformative technologies.
The company offers an attractive compensation package including competitive salary, comprehensive health benefits, 401(k) matching, and various perks. You'll be contributing to sustainable AI infrastructure while working with cutting-edge technology in a fast-paced, collaborative environment. This is an excellent opportunity for someone who wants to make a significant impact in the AI infrastructure space while working with industry-leading technology and clients.
Responsibilities For MLOps Professional Services Engineer (Cloud & AI Infra)
- Design and implement scalable ML training and inference workflows using Kubernetes and Slurm
- Optimize ML model training and inference performance
- Develop and expand library of training and inference solutions
- Integrate with ML frameworks like TensorFlow, PyTorch, or MXNet
- Develop monitoring and logging tools
- Create automation scripts and tools
- Participate in industry conferences and stay up-to-date with latest developments
Requirements For MLOps Professional Services Engineer (Cloud & AI Infra)
- At least 3 years of experience in MLOps, DevOps, or related field
- Strong experience with Kubernetes and containerization
- Experience with cloud providers like AWS, GCP, or Azure
- Familiarity with Slurm or other distributed computing frameworks
- Proficiency in Python, with experience in ML frameworks
- Knowledge of ML model serving and deployment
- Familiarity with CI/CD pipelines
- Experience with monitoring and logging tools
- Understanding of distributed computing principles
- Experience with automation tools
Benefits For MLOps Professional Services Engineer (Cloud & AI Infra)
- Competitive compensation: $130,000-$175,000
- Full medical benefits and life insurance (100% coverage)
- 401(k) match program up to 4%
- PTO and paid holidays
- Flexible remote work environment
- Mobile and internet reimbursement up to $85/month
- Access to state-of-the-art AI and cloud technologies
- Work with powerful supercomputers
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