Description:

We are looking for an MLOps Engineer to help scale, deploy, and maintain machine learning (ML) and Generative AI (GenAI) based solutions.
In this role, you will work with cloud-based ML infrastructure to optimize model training, deployment, and monitoring.
The ideal candidate has hands-on experience in MLOps, model deployment, and cloud scaling (Azure or Oracle stack).
While experience with GenAI is a plus, we are looking for someone with a strong learning mindset, a willingness to experiment, and the ability to adapt quickly to new challenges.
Key responsibilities include developing and scaling MLOps pipelines to support ML & GenAI based solutions, automating model retraining, deployment, and monitoring, optimizing compute, storage, and networking for AI workloads, working with cloud ML platforms such as Azure ML and/or OCI AI Services, implementing observability and performance tracking to monitor deployed models, and exploring and experimenting with GenAI scaling strategies for better efficiency and performance.

Requirements:

Proficiency in Python for ML development and automation is required.
Hands-on experience with Azure or Oracle Cloud stack is necessary.
Proven ability to deploy and scale ML models effectively is essential.
Strong knowledge of MLOps tools, such as MLflow, Kubeflow, CI/CD, Docker, and Kubernetes is required.
Experience with monitoring and optimizing ML pipelines to ensure performance and reliability is needed.
Excellent communication skills and the ability to thrive in a fast-paced, collaborative environment are important.

Opportunity to grow within a rapidly expanding organization is offered.
Work with a Microsoft Gold Partner organization and the latest technologies is provided.
Be part of a company that values its employees, fostering a people-first culture.
Comprehensive insurance coverage includes company-paid Group Mediclaim Insurance for employees, spouses, and up to 2 kids (INR 4,00,000 per annum) and company-paid Group Personal Accidental Insurance (INR 10,00,000 per annum).
Company-paid and manager-approved career advancement opportunities are available.
A best-in-the-industry referral bonus policy is in place.
Enjoy 29 paid leaves per year to promote work-life balance.
Company-paid maternity leave is provided as part of maternity benefits.