Join Soul AI as a Senior MLOps Engineer to design and automate scalable ML workflows and pipelines. Collaborate with ML engineers and data scientists to ensure end-to-end model reliability. Contribute to the advancement of AI technology.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
About Us:
Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.
About the Role
We are looking for an MLOps Engineer to join us for critical projects. You will be working with big techs to help them in building cutting-edge AI foundational models meant to perform exceptionally well on engineering and infrastructure tasks.
In this role you will be part of a highly skilled team with niche domain expertise, being at the forefront to improve the accuracy & performance of SOTA models.
Responsibilities
- Design and automate scalable ML workflows and pipelines.
- Maintain and monitor ML infrastructure in production.
- Manage model deployment, version control, and CI/CD processes.
- Collaborate with ML engineers and data scientists to ensure end-to-end model reliability.
- Annotate and evaluate AI-generated outputs related to infrastructure, pipelines, and automation.
- Review and provide structured feedback on model behavior in DevOps and MLOps use cases.
- Analyze errors or inefficiencies in AI-generated scripts or deployment flows.
- Help train models to better understand MLOps concepts, tools, and best practices.
Requirements
- Strong knowledge of MLOps tools (MLflow, Kubeflow, Airflow).
- Experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Proficiency in Python and scripting for automation.
- Enthusiasm to make foundational AI models perform better.
- Background in Computer Science, DevOps, or ML Engineering.
Why Join Us?
- Competitive hourly pay: up to ₹1500 per hour.
- Fully remote and flexible work schedule.
- Opportunity to contribute to the advancement of AI technology.
NOTE: Pay will vary by project and typically is up to ₹1500 per hour. If you work an average of 3 hours every day, you could earn up to ₹90,000 per month once you clear our screening process.
Join us to play a vital role in shaping the future of AI through high-quality training and data solutions!
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