Company Name: VARITE India Private Limited

About The Client:

Client is a pioneering Software Engineering and IT consultancy company, transforming and executing at the intersection of Domain and Technology to create digital leaders for our people, clients, partners, and communities.

About the Role:

- The client currently operates Data Science workloads in GCP and is migrating these workloads to Azure Databricks. Input data will continue to originate from GCP, Data Science processing will execute in Azure Databricks, and outputs will be written back to GCP. The MLOps Engineer will play a critical role in model migration, workflow automation, CI/CD implementation, model lifecycle management, and cross-cloud data movement initiatives.

Essential Job Functions:

- Support migration of existing ML models from GCP to Azure Databricks.
- Analyze, replicate, and optimize existing Data Science model architectures.
- Build and maintain CI/CD pipelines using GitHub Actions.
- Implement and manage MLflow for model tracking, versioning, and lifecycle management.
- Develop scalable Data & ML pipelines using Databricks and PySpark.
- Collaborate with Data Engineering teams on GCP to Azure Databricks data movement strategies.
- Build pipelines to move model outputs from Azure Databricks back to GCP.
- Provide architectural guidance and workflow optimization recommendations.
- Improve testing coverage, monitoring, observability, and performance tuning.
- Drive cost optimization and operational efficiency initiatives.

Qualifications:

Mandatory Technical Skills

- Strong hands-on expertise in Azure Databricks with deep understanding of Databricks internals.
- Advanced PySpark development, optimization, and execution plan analysis.
- Experience building CI/CD pipelines using GitHub Actions.
- Strong experience with MLflow for model tracking, deployment, and lifecycle management.
- Knowledge of Terraform and Databricks infrastructure automation.
- Experience integrating workflows across GCP and Azure cloud platforms.




- Robust debugging, troubleshooting, and performance optimization capabilities.
- Experience operationalizing Machine Learning models in production environments.
- Cost optimization mindset for cloud and data processing workloads.

Good to Have:
- Experience with cross-cloud data movement architectures.
- Understanding of Data Science model structures and workflows.
- Exposure to model monitoring, observability, and alerting frameworks.
- Experience collaborating closely with Data Science teams.

Other Details:
- Working Hours: 8:00 AM – 5:00 PM UK Time
- Experience: 6–8 Years

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards:

Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years INR 5,000

2-6 years INR 7,500

6+ years INR 10,000

About VARITE:

VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

📌 MLOPS Engineer (India)
🏢 VARITE
📍 India