Data Validation Engineer

Job Description

Location:

Minneapolis, MN (3 days WFO)

We are seeking a talented and motivated MLOps Engineer to join our growing team. In 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.

• 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.

• Strong proficiency in Python to implement Data Engineering pipeline.
• Hands‑on experience with Google Cloud Platform (GCP).
• Experience working with Vertex AI and Cloud Build.
• Strong knowledge of Big Query SQL.
• Experience with Docker and containerization.
• Solid understanding of machine learning concepts and lifecycle (Training to Serving).
• Maintaining and deploying model endpoints utilizing the most optimal framework.

• Experience with FastAPI or similar frameworks.
• Knowledge of model deployment strategies (batch and real‑time).
• Familiarity with Kubernetes and Release management.

• 3–5 years of experience in MLOps, Machine Learning Engineering, or a related field.

Expected compensation ranges from $60,000 to $135,000. Final compensation will depend on various factors, including geographical location, minimum wage obligations, skills, and relevant experience. 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), and other paid and unpaid leave options.

Applications from veterans and people with disabilities are explicitly welcome.

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. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. We provide equal opportunities to all and value diversity.