Wipro
Job Title
Solution Architect – ML OPS, LLM OPS
City: Minneapolis, State/Province: Minnesota
Posting Start Date: 10/23/25
Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO)
Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction.
Responsibilities
Automating AI/ML model deployment and setting up monitoring for the ML pipeline.
Integrate the existing, new codebase to the customer pipelines.
Programming with working knowledge of machine learning algorithms and frameworks, and domain knowledge.
Provide best practices and execute POCs for automated and efficient model operations at scale.
Querying and working with databases, testing ML models, Git and version control, frameworks like Flask and FastAPI.
Hands‑on experience using large foundation models (LLMs) and associated tool chains (e.g., LangChain) and APIs to build applications, tools, and workflows for production.
Familiarity with experiment tracking frameworks such as MLflow.
Set up and automate data pipelines using tools such as Airflow, Kafka, RabbitMQ, etc.
Automate CI/CD pipelines to account for data, code, and model changes.
Containerization: proficiency in tools such as Docker and Kubernetes.
Communicate with customer architect teams, drive and own the deployment cycle, and coordinate with AIML developers to deploy the solution.
Qualifications
ML Ops experience: 8–10 years.
Strong understanding of ML operations and deployment practices.
Experience with containerization (Docker) and orchestration (Kubernetes).
Experience with CI/CD for ML workflows.
Proficiency in Python and web frameworks (Flask, FastAPI). Familiarity with JavaScript optional.
Experience with data pipeline tools (Airflow, Kafka, RabbitMQ).
Experience with LLMs, LangChain, and related APIs.
Experience with experiment tracking frameworks such as MLflow.
Compensation and Benefits The expected compensation for this role ranges from $80,000 to $158,000. Final compensation will depend on geographic location, minimum wage obligations, skills, and relevant experience.
Benefits include a full range of medical and dental benefits, disability insurance, paid time off (including sick leave), and other paid and unpaid leave options.
Equal Employment Opportunity 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.
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City: Minneapolis, State/Province: Minnesota
Posting Start Date: 10/23/25
Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO)
Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction.
Responsibilities
Automating AI/ML model deployment and setting up monitoring for the ML pipeline.
Integrate the existing, new codebase to the customer pipelines.
Programming with working knowledge of machine learning algorithms and frameworks, and domain knowledge.
Provide best practices and execute POCs for automated and efficient model operations at scale.
Querying and working with databases, testing ML models, Git and version control, frameworks like Flask and FastAPI.
Hands‑on experience using large foundation models (LLMs) and associated tool chains (e.g., LangChain) and APIs to build applications, tools, and workflows for production.
Familiarity with experiment tracking frameworks such as MLflow.
Set up and automate data pipelines using tools such as Airflow, Kafka, RabbitMQ, etc.
Automate CI/CD pipelines to account for data, code, and model changes.
Containerization: proficiency in tools such as Docker and Kubernetes.
Communicate with customer architect teams, drive and own the deployment cycle, and coordinate with AIML developers to deploy the solution.
Qualifications
ML Ops experience: 8–10 years.
Strong understanding of ML operations and deployment practices.
Experience with containerization (Docker) and orchestration (Kubernetes).
Experience with CI/CD for ML workflows.
Proficiency in Python and web frameworks (Flask, FastAPI). Familiarity with JavaScript optional.
Experience with data pipeline tools (Airflow, Kafka, RabbitMQ).
Experience with LLMs, LangChain, and related APIs.
Experience with experiment tracking frameworks such as MLflow.
Compensation and Benefits The expected compensation for this role ranges from $80,000 to $158,000. Final compensation will depend on geographic location, minimum wage obligations, skills, and relevant experience.
Benefits include a full range of medical and dental benefits, disability insurance, paid time off (including sick leave), and other paid and unpaid leave options.
Equal Employment Opportunity 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.
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