Virtusa Recognized as Global Leader in Gen AI Services by ISG Provider Lens® - Read report
We are looking for an experienced Data Scientist with strong expertise in AI/ML, Generative AI, LLMs, NLP, and MLOps. The ideal candidate will lead solution design, predictive analytics, and time-series modeling initiatives while driving innovation in deep learning and enterprise AI deployments.
Key Responsibilities
AI/ML & Generative AI Development
Design and implement advanced ML models, including LLMs and RAG-based NLP for enterprise applications.
Develop generative AI solutions for automation, personalization, and content generation.
Solution Design & Architecture:
Lead end-to-end AI solution design, ensuring scalability, security, and compliance.
Collaborate with stakeholders to align AI strategies with business objectives.
Predictive Analytics & Time Series Modeling:
Build predictive models for forecasting and anomaly detection using time-series data.
Apply statistical and deep learning techniques for trend analysis and optimization.
Deep Learning & NLP:
Implement advanced DL architectures for image, text, and multimodal data.
Develop NLP pipelines for text classification, entity recognition, and conversational AI.
MLOps & Deployment:
Establish robust MLOps frameworks for model lifecycle management, CI/CD, and monitoring.
Deploy AI models on cloud platforms (AWS, Azure) ensuring high availability and cost efficiency.
Leadership & Team Management:
Lead cross-functional teams, mentor junior data scientists, and drive best practices in AI development.
Strong proficiency in Python, R, SQL, and ML/DL frameworks (TensorFlow, PyTorch).
Hands-on experience with LLMs, Generative AI, NLP, and MLOps tools.
Expertise in time-series modeling, predictive analytics, and deep learning architectures.
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
Excellent communication and leadership skills.
Master or Ph.D. in Computer Science, Data Science, AI/ML, or related field.
Preferred Qualifications
Experience with AI governance and model validation frameworks.
Certifications in AWS/Azure AI services.
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.
Learn more
Have any questions?
To join our bright team of professionals, you can apply directly to our website under the Careers tab and search all open jobs. https://www.virtusa.com/careers
Yes, you can. Virtusa gives you the flexibility to apply for multiple open positions that excite you about your future and align to your experience and career goals.
Yes, you can. Virtusa is a global Company, and we serve our clients through our global delivery model.
Our dedicated recruitment team will review your online application and match it to all our open jobs. We update our open jobs on a daily basis and encourage you to check back often.
Our team of recruiters will review your application, relevant job experience, and skills to appropriately align it to our open jobs. From there, the recruitment team will contact the qualified candidate to start the interview process.
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