Job description
Job details
- Location: Bangalore, Karnataka
- Work mode: Onsite
- Employment type: Full-time (Not an internship)
- Salary: Salary details are available in the employer description.
Role overview
UST, a technology innovation leader in Bangalore, seeks a Senior Python MLOps Engineer to design and optimize machine learning pipelines. The role focuses on modeling automation, cloud-based ML frameworks, and end-to-end workflow orchestration for scalable AI solutions.
Job details
Based in Bangalore, this Full-time, Onsite position requires immediate availability. Candidates with 7+ years of hands-on experience in Python development, MLOps engineering, and cloud platforms (GCP/Azure ML) are encouraged to apply. Salary details are available upon contact.
Responsibilities
- Design and implement ML pipelines for model automation
- Develop and optimize ML workflows using GCP/Azure ML
- Manage model lifecycle and deployment processes
- Collaborate on cloud-based MLOps frameworks
- Ensure efficient model training and workflow orchestration
Requirements
- 7+ years in Python and MLOps engineering
- Strong ML pipeline development experience
- Expertise in MLOps frameworks and model lifecycle
- Hands-on with cloud platforms (GCP, Azure ML)
- Proven track record in ML workflow orchestration
Benefits
- Competitive salary and performance incentives
- Opportunities for professional growth and upskilling
- Collaborative work environment with tech experts
- Access to cutting-edge cloud and ML technologies
Keywords
PythonMLOpsML pipelinesGCPAzure MLModeling automationModel lifecycle managementCloud computingML frameworksWorkflow orchestration