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Freelance MLOps Developer – Azure Expert

1 month ago

India Supr Ventures Full time

Company

Supr Ventures is a pre-seed and seed VC fund investing in dynamic sectors such as fintech, healthtech, AI, devtools, and e-commerce. We are committed to building solutions that improve daily lives and promote healthy living, working with a team of founders, corporate executives, and community builders.

- Position: MLOps Developer – Azure Expert
- Location: Remote
- Job Type: Freelance

Role Overview

We are seeking an experienced freelance MLOps Developer with 5 to 7 years in the industry and deep expertise in Microsoft Azure. The ideal candidate will design, build, and deploy end-to-end machine learning pipelines on Azure, optimize CI/CD processes, and work closely with data science and engineering teams to drive cloud innovation.

Key Responsibilities:

- Architect and implement scalable ML solutions on the Azure platform.
- Develop, automate, and maintain CI/CD pipelines for ML workflows.
- Optimize cloud infrastructure and ensure seamless integration between development and production environments.
- Collaborate with cross-functional teams to deliver robust, secure, and efficient solutions.

Required Qualifications:

- 5 to 7 years of professional experience in MLOps, DevOps, or related fields.
- Deep, hands-on knowledge of Azure services and architecture.
- Proven track record in deploying and managing machine learning systems in production.
- Strong scripting (e.g., Python) and containerization skills (e.g., Docker, Kubernetes).
- Excellent problem-solving, communication, and stakeholder management skills.
- An excellent degree in Computer Science or a related discipline from a reputable institution.
- A demonstrated online presence (e.g., GitHub profile or a public portfolio) showcasing relevant projects, with customer testimonials from validated clients.

This contract-based role offers remuneration based on merit and flexible remote work opportunities. If you're a seasoned Azure expert ready to drive impactful ML initiatives, we’d love to hear from you