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mlops Engineer

Wipro


Job Location:

Richfield, MN - USA

Monthly Salary: Not provided by the employer
Posted: 10 August 2026 (30+ days ago)
Application Deadline: 7 November 2026
Vacancies: 1 Vacancy

Job Summary

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 230000 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 .
Job Description

Location - Minneapolis MN ( 3 days WFO)

MLOpsEngineer

Job Description

We are seeking a talented and motivatedMLOpsEngineer to join our growing this role you will be responsible for building deploying and maintaining scalable machine learning systems and pipelines. You will collaborate closely with data scientists software engineers and stakeholders to ensure seamless integration of machine learning models into production environments.

Key Responsibilities

Design develop and maintain scalable ML pipelines and workflows.

Deploy and monitor machine learning models in production

Collaborate with cross-functional teams to operationalize ML solutions

Ensure reliability scalability and performance of ML systems

Implement best practices for model versioning monitoring and governance

Optimize infrastructure and workflows for cost and efficiency

Required Skills & Qualifications

Strong proficiency in Python toimplement Data Engineering pipeline

Hands-on experience with Google Cloud Platform (GCP)

Experience working with Vertex AI and Cloud build.

Strong knowledge of BigQuery sql.

Experience with Docker and containerization

Solid understanding of machine learning concepts and lifecycle(Training to Serving)

Maintaining and deploying model end points utilizing most optimal framework

Preferred Skills

Experience with FastAPI or similar frameworks

Knowledge of model deployment strategies (batch and real-time)

Familiarity with Kubernetes and Release management

Experience

35 years of experience inMLOps Machine Learning Engineering or a related field

Mandatory Skills: GCP AI ML MLOps.

Experience: 5-8 Years.

The expected compensation for this role ranges from $60000 to $135000 .

Final compensation will depend on various factors including your geographical location minimum wage obligations skills and relevant experience. Based on the position the role is also eligible for Wipros 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.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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.

Required Experience:

IC


About Company

As a global leader, Wipro blends consulting and AI expertise across design, engineering and operations to accelerate business transformation and deliver future-ready technology.

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