MLOPS

Req Id: 83946

City: Austin

State/Province: Texas

Posting Start Date: 8/11/25

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

MLOPS Engineer

Department: Machine Learning / Engineering
Job Type: Full-time

We are seeking a skilled and proactive MLOps Engineer to help bridge the gap between data science and production engineering. You'll be responsible for building and maintaining the infrastructure, tooling, and workflows required to develop, test, deploy, and monitor machine learning models at scale.

Responsibilities

• Build and maintain CI/CD pipelines for ML model development, testing, and deployment
• Develop reusable tools and frameworks for data processing, model training, validation, and monitoring.
• Collaborate closely with data scientists to operationalize models, ensuring they are scalable, reliable, and reproducible.
• Manage and optimize compute infrastructure, including cloud and on-prem GPU/CPU clusters.Implement observability and monitoring systems to track model performance, drift, and data integrity in production
• Ensure governance and compliance through model versioning, reproducibility, and auditability

Requirements

• Experience in ML Engineering, DevOps, or Infrastructure Engineering with a focus on ML workflows.
• Proficiency with cloud platforms (AWS, GCP, Azure) and orchestration tools (Kubernetes, Airflow, etc.).
• Experience with MLOps frameworks such as MLflow, Kubeflow, Metaflow, or SageMaker.
• Strong coding skills in Python and experience with infrastructure-as-code tools (e.g., Terraform, Helm)
• Solid understanding of CI/CD practices and monitoring tools (e.g., Prometheus, Grafana, Datadog)

Nice to Have

• Experience deploying real-time inference services and batch prediction pipelines
• Familiarity with model explainability, fairness, and responsible AI practices
• Exposure to feature stores (e.g., Feast, Tecton) and experiment tracking platforms.

Mandatory Skills: AI ML Governance Product Engineering .

Experience: 3-5 Years .

Expected annual pay for this role ranges from $45,000 to $110,000 . Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Client-provided location(s): Austin, TX

Job ID: Wipro-83946

Employment Type: FULL_TIME

Posted: 2025-08-13T01:05:28