Mlops Engineer

Mlops Engineer

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.

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 to implement 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.

Mandatory Skills: GCP AI ML MLOps. Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $135,000. 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 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.

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.