Associate Engineer

Virtusa; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Virtusa in New York seeks a capable ML engineer to contribute to AI/ML data science initiatives. The role translates business problems into robust ML solutions with measurable impact.

You will analyze natural language and quantitative problems, optimize models, and explore Deep Learning and Generative AI, implementing explainable, high‑performance Python systems.

Collaboration with cross‑functional teams and the ability to learn domains such as finance or insurance are highly valued.

Qualifications

• Master's degree in AI/ML, Data Science, or Computer Science (specialization in AI/ML/Data Science is required).
• Authorized to work in the United States without sponsorship.

Responsibilities

• Analyze natural language and quantitative problems to produce ML models/solutions.
• Optimize existing ML models and solutions.
• Research and implement Deep Learning, Generative AI, and Agentic architecture based solutions.
• Keep abreast of AI/ML models and their real-world applicability.
• Implement solutions with explainability and optimized performance.
• Program in Python.

Skills

NLP

Machine Learning

Deep Learning

Generative AI

Python

Education

Master’s degree in AI/ML, Data Science, or Computer Science

Job description

Educational Qualification

Master’s Degree in AI/ML, Data Science, or Computer Science (specialization in AI/ML/Data Science is required).

Educational Qualification

Master’s Degree in AI/ML, Data Science, or Computer Science (specialization in AI/ML/Data Science is required).

Mandatory Eligibility Criteria

• Master's graduates from 2025 batch
• Applicants must be legally authorized to work in the United States without the need for current or future employer sponsorship

Key Responsibilities

• Ability to analyze natural language and quantitative problems to produce Machine Learning based models/solutions.
• Optimization of existing machine learning models and solutions.
• Comprehensive analysis and understanding of a business problem statement, passion and willingness to explore and learn domains including finance, insurance etc.
• Research and implement solutions that will include Deep Learning, Generative AI, Agentic architecture based implementations, fine tuning of small language models.
• Keeping abreast of AI and ML models and their applicability in real world context
• Implement solutions with explainability and optimized performance
• Programming skills in python.