This role is for one of the Weekday's clients

Salary range: Rs 2000000 - Rs 4000000 (ie INR 20-40 LPA)

Min Experience: 8 years

JobType: full time

We are looking for an experienced MLOps Engineer with a minimum of 8 years of experience to manage and scale machine learning operations across production environments. The role involves building robust, automated, and scalable ML pipelines, collaborating with data science and engineering teams, and deploying models efficiently using modern cloud and infrastructure tools. This position emphasizes hands-on experience with MLOps frameworks and Terraform, ensuring smooth end-to-end ML workflows.

Key Responsibilities

- Design, deploy, and manage end-to-end machine learning pipelines, from model training to production deployment.
- Implement infrastructure as code using Terraform for cloud-based ML environments.
- Ensure monitoring, logging, and performance tracking of ML models in production.
- Collaborate with data scientists, ML engineers,



and DevOps teams to standardize and automate workflows.
- Build and maintain CI/CD pipelines for ML projects.
- Optimize resource utilization, ensure scalability, and troubleshoot issues in ML systems.
- Maintain documentation of ML operations, deployment procedures, and infrastructure setup.

What Makes You a Great Fit

- 8+ years of hands-on experience in MLOps, cloud infrastructure, or production ML systems.
- Expertise in Terraform, MLOps frameworks, and cloud platforms (AWS, Azure, GCP).
- Strong problem-solving skills and ability to optimize complex ML workflows.
- Collaborative mindset to work effectively with cross-functional teams.
- Proactive and adaptable, capable of handling multiple priorities in a fast-paced environment.
- Strong ownership and initiative to improve ML lifecycle efficiency.

📌 MLOps Engineer (Mumbai)
🏢 Important Company of the Sector
📍 Mumbai