Senior Mlops Engineer Job in Blend360 India

Senior MLOps Engineer

Location: Hyderabad, Telangana

Work Type: On-site, Full-time

Experience: 5+ Years (with 3 years specifically in ML Engineering)

Company: Blend

About Blend:

Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value.

Job Summary:

We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations.

Key Responsibilities:

• Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation.
• Implement essential pipeline extensions to support ongoing data science workflows.
• Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams.
• Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment.
• Research and apply optimization strategies for ML workflows and infrastructure performance.
• Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives.

Qualifications:

• 5+ years of hands-on DevOps experience with AWS Cloud.
• Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services.
• Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions.
• Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments.
• Solid understanding of MLOps best practices and fundamental data science principles.
• Proficient in Python for scripting and automation tasks.
• Experience with building and managing Docker images.
• Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines.

Why Join Blend?

• Work with cutting-edge AI and ML technologies in a highly innovative environment.
• Collaborate with top-tier experts in data science and cloud engineering.
• Opportunities for professional growth, mentorship, and certification support.
• Competitive compensation package and dynamic work culture.

Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!