Virtusa Recognized as Global Leader in Gen AI Services by ISG Provider Lens® - Read report
Job description
In depth exposure and experience in designing and implement machine learning models using Google Vertex AI Python in the context of Conversational AI
Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions
Design build and deploy machine learning models on the Google Cloud Platform Experience in using Google CCAI CES platform and its components
Experience in agentic architecture based implementations and advanced Retrieval Augmented Generation
Conduct thorough testing and validation to ensure the accuracy and reliability of the models Experience in Eval frameworks and eval metrics
Optimize and fine tune machine learning models for performance efficiency and accuracy Experience in Parameter Efficient Fine Tuning will be an added advantage
Stay updated on the latest advancements in machine learning and AI technologies
Ability to directly deal with tech experts from product companies such as google and drive solutions to meet customer expectations goals
Maturity working in a customer environment with understanding the boundaries
Qualification
Advanced experience in production grade Machine Learning Model design and implementation including LLMs Model Evaluation and MLOps
In depth exposure and experience in designing and implement machine learning models using Google Vertex AI Python in the context of Conversational AI
Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions
Design build and deploy machine learning models on the Google Cloud Platform Experience in using Google CCAI CES platform and its components
Experience in agentic architecture based implementations and advanced Retrieval Augmented Generation
Conduct thorough testing and validation to ensure the accuracy and reliability of the models Experience in Eval frameworks and eval metrics
Optimize and fine tune machine learning models for performance efficiency and accuracy Experience in Parameter Efficient Fine Tuning will be an added advantage
Stay updated on the latest advancements in machine learning and AI technologies
Ability to directly deal with tech experts from product companies such as google and drive solutions to meet customer expectations goals
Maturity working in a customer environment with understanding the boundaries
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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