Senior AI Engineer_ MLOPs_ 5 to 10yrs
Fractal (company site, opens in a new tab)5–10 yrsBengaluruOn-siteDirect career pageEst. 20–40 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Deploy and operate advanced analytics machine learning models by collaborating with Data Scientists and Data Engineers.
- Automate and streamline model development and operations, including building and maintaining deployment, monitoring, and operational tools.
- Develop scalable ML pipelines and MLOps components using platforms like MLFlow, Kubeflow, DataRobot, and manage end-to-end ML lifecycle on Cloud (AWS, Azure, GCP) or On-Prem environments.
Minimum Requirements
- 5-10 years experience building production-quality software.
- Strong experience in system integration, application development, or data warehouse projects with enterprise technologies.
- Basic knowledge of MLOps, machine learning, Docker, and foundational cloud computing skills in AWS, Azure, or GCP.
- Proficiency in object-oriented programming languages (e.g., Python, PySpark, Java, C#, C++), SQL database programming, experience with CI/CD for ML pipelines, and Git for source code management.
Ideal Candidate Profile
- Experienced in full ML development lifecycle and MLOps, capable of handling complex challenges in fast-paced environments.
- Skilled in client-facing roles including business development and delivery across multiple domains, showcasing project management and team handling capabilities.
- Comfortable working with cloud and on-prem ML infrastructure, demonstrates ability to build scalable, automated ML solutions using modern MLOps platforms.