Location
Beaverton, OR | United States
Job description
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. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries. We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
·A PROUD HISTORY OF OVER 75 YEARS
· FY22 REVENUE 10.4 BN USD
· WE’RE PRESENT IN 66 COUNTRIES
· OVER 1,400 ACTIVE GLOBAL CLIENTS
Role - GenAI Engineer
Employment - Full time
Location - Remote (USA)
Responsibilities:
Build and maintain scalable infrastructure for machine learning model & pipeline deployment, including containerization & orchestration.
Develop and maintain scalable & secure REST APIs for serving multiple machine learning models to various users.
Collaborate with data scientists and software engineers to ensure seamless integration of ML models into our systems.
Design and optimize data pipelines, data storage, and data processing systems to support the training and inference processes of machine learning models.
Build and maintain data and model dashboards to monitor model performance and health in production environments.
Collaborate with cross-functional teams to identify and address data quality, data governance, and security considerations in the context of ML operations.
Requirements:
Required
Bachelor's degree in Computer Science, Data Science, or a related field. A Master's or Ph.D. degree is a plus.
5+ years of hands-on experience in ML operations, ML engineering, or related roles.
Experience with AWS or Azure cloud platforms, specifically AWS Sagemaker
Experience with REST API development, AWS Networking Protocols
Solid understanding of infrastructure components and technologies, including containerization (e.g., Docker) and CI/CD pipelines
Strong knowledge of software engineering principles and best practices, including version control, code review, and testing.
Excellent problem-solving skills, with the ability to analyze complex issues and provide innovative solutions in a fast-paced environment.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
Preferred
Familiarity with load balancing, EKS (Kubernetes), & latest serving ML Model Serving Techniques (ex. NVIDIA Triton).
Familiarity with the Hugging Face Diffusers Library
Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.
AI Cognitive
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