Virtusa Recognized as Global Leader in Gen AI Services by ISG Provider Lens® - Read report
Job description
As an AI Engineer you will be responsible for creating machine learning models and retraining systems You will work closely with AI Architects, Cloud Engineers and a CRM Development Team such as Salesforce Your role will involve working with GenAI models like Gemini GPT4 and others as well as traditional machine learning models from the NLP Deep Learning discipline A key part of your role will be evaluating models and maintaining ethical responsibilities. The ideal candidate for this role is a tech savvy professional with an in depth understanding of machine learning models and technologies They must be able to work collaboratively with a diverse team and have a solution oriented mindset They should also have a strong commitment to maintaining ethical standards in their work
Responsibilities
- Collaborate with AI Architects Cloud Engineers and a CRM Development Team to design and implement machine learning models and systems
- Work with GenAI models like Gemini GPT4 as well as traditional machine learning models from the NLP Deep Learning discipline
- Retrain existing models and systems to ensure their accuracy and efficiency
- Evaluate machine learning models and ensure they adhere to ethical standards
- Stay current with the latest trends and technologies in machine learning and artificial intelligence
- Provide technical support and guidance to the development team on machine learning related issues
- Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency
Document all procedures and systems related to the machine learning infrastructure for future reference and audits
Required Skills
- 4 year bachelors degree in Computer Science Information Technology Computer Engineering from a recognized university or equivalent experience
- Proven experience as a Machine Learning Engineer or similar role in the industry
Strong knowledge of GenAI models like Gemini GPT4 and traditional machine learning models from the NLP Deep Learning discipline - Proficiency in Python development
- Experience working with AI technologies and cloud platforms Google Cloud Platform GCP
- Excellent problem solving and troubleshooting skills
- Ability to work collaboratively with a diverse team of engineers architects and developers
- Machine Learning certifications
- Experience in a Healthcare Payer enterprise
- Proficient in CRM platforms such as Salesforce
- Knowledge of data privacy regulations and practices
- Experience in training team members on machine learning technologies and applications
- Strong communication and project management skills
Qualification
As an AI Engineer you will be responsible for creating machine learning models and retraining systems You will work closely with AI Architects, Cloud Engineers and a CRM Development Team such as Salesforce Your role will involve working with GenAI models like Gemini GPT4 and others as well as traditional machine learning models from the NLP Deep Learning discipline A key part of your role will be evaluating models and maintaining ethical responsibilities. The ideal candidate for this role is a tech savvy professional with an in depth understanding of machine learning models and technologies They must be able to work collaboratively with a diverse team and have a solution oriented mindset They should also have a strong commitment to maintaining ethical standards in their work
Responsibilities
- Collaborate with AI Architects Cloud Engineers and a CRM Development Team to design and implement machine learning models and systems
- Work with GenAI models like Gemini GPT4 as well as traditional machine learning models from the NLP Deep Learning discipline
- Retrain existing models and systems to ensure their accuracy and efficiency
- Evaluate machine learning models and ensure they adhere to ethical standards
- Stay current with the latest trends and technologies in machine learning and artificial intelligence
- Provide technical support and guidance to the development team on machine learning related issues
- Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency
Document all procedures and systems related to the machine learning infrastructure for future reference and audits
Required Skills
- 4 year bachelors degree in Computer Science Information Technology Computer Engineering from a recognized university or equivalent experience
- Proven experience as a Machine Learning Engineer or similar role in the industry
Strong knowledge of GenAI models like Gemini GPT4 and traditional machine learning models from the NLP Deep Learning discipline - Proficiency in Python development
- Experience working with AI technologies and cloud platforms Google Cloud Platform GCP
- Excellent problem solving and troubleshooting skills
- Ability to work collaboratively with a diverse team of engineers architects and developers
- Machine Learning certifications
- Experience in a Healthcare Payer enterprise
- Proficient in CRM platforms such as Salesforce
- Knowledge of data privacy regulations and practices
- Experience in training team members on machine learning technologies and applications
- Strong communication and project management skills
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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