Wipro
Solution Architect - ML OPS, LLM OPS at 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
Automate AI/ML model deployment and set up monitoring for the ML pipeline; integrate existing and new codebases into customer pipelines.
Provide best practices and execute POCs for automated and efficient model operations at scale.
Query and work with databases, test ML models, use Git and version control, and frameworks like Flask and FastAPI.
Set up and automate data pipelines using tools such as Airflow, Kafka, and RabbitMQ.
Automate CI/CD pipelines to account for data, code, and model changes.
Coordinate with customer architect teams, drive and own the deployment cycle, and collaborate with AIML developers to deploy solutions.
Qualifications
8-10 years of experience in machine learning and operations.
Programming and working knowledge of machine learning algorithms, frameworks, and domain knowledge.
Hands‑on experience with large foundation models (LLMs) and associated toolchains such as langchain, and APIs to build production applications, tools, and workflows.
Familiarity with experiment tracking frameworks such as MLflow.
Strong containerization skills; proficiency with Docker and Kubernetes.
Compensation and Benefits Expected compensation range: $80,000 to $158,000. Final compensation will depend on location, minimum wage obligations, skills, and relevant experience. The role is eligible for Wipro's standard benefits, including medical and dental benefits, disability insurance, paid time off, and other leave options.
Applications may be conditioned on successful completion of a post‑offer drug screening, subject to applicable state law.
EEO Statement 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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Responsibilities
Automate AI/ML model deployment and set up monitoring for the ML pipeline; integrate existing and new codebases into customer pipelines.
Provide best practices and execute POCs for automated and efficient model operations at scale.
Query and work with databases, test ML models, use Git and version control, and frameworks like Flask and FastAPI.
Set up and automate data pipelines using tools such as Airflow, Kafka, and RabbitMQ.
Automate CI/CD pipelines to account for data, code, and model changes.
Coordinate with customer architect teams, drive and own the deployment cycle, and collaborate with AIML developers to deploy solutions.
Qualifications
8-10 years of experience in machine learning and operations.
Programming and working knowledge of machine learning algorithms, frameworks, and domain knowledge.
Hands‑on experience with large foundation models (LLMs) and associated toolchains such as langchain, and APIs to build production applications, tools, and workflows.
Familiarity with experiment tracking frameworks such as MLflow.
Strong containerization skills; proficiency with Docker and Kubernetes.
Compensation and Benefits Expected compensation range: $80,000 to $158,000. Final compensation will depend on location, minimum wage obligations, skills, and relevant experience. The role is eligible for Wipro's standard benefits, including medical and dental benefits, disability insurance, paid time off, and other leave options.
Applications may be conditioned on successful completion of a post‑offer drug screening, subject to applicable state law.
EEO Statement 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.
Referrals increase your chances of interviewing at Wipro by 2x.
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