Production Support Engineer
Job description
Key Responsibilities
Build and support high-impact data science and machine learning POCs using Python and modern ML libraries.
Develop and iterate on AI and Generative AI solutions, including experimentation, evaluation, and optimization.
Collaborate with senior engineers and business stakeholders to translate problem statements into ML/AI approaches.
Perform data exploration (EDA), feature engineering, and model performance analysis.
Assist in creating and maintaining end-to-end ML pipelines including training, validation, and basic deployment.
Support model deployment and monitoring for pilot or pre-production environments.
Document solution design, experiments, and outcomes clearly and consistently.
Primary Skills
AI ML & Generative AI Knowledge Expectations
Strong foundational understanding of machine learning concepts, including supervised and unsupervised learning, feature engineering, model training, validation, and evaluation.
Good knowledge of commonly used ML algorithms (linear/logistic regression, decision trees, random forests, gradient boosting, clustering) and appropriate use cases.
Understanding of the end-to-end ML lifecycle, from data preprocessing and experimentation to deployment basics and monitoring.
Solid conceptual and hands-on knowledge of Generative AI and Large Language Models (LLMs), including tokenization, embeddings, prompt engineering, and inference patterns.
Familiarity with LLM-based solution patterns such as summarization, question answering, text classification, chatbots, and retrieval-augmented generation (RAG).
Awareness of model fine-tuning approaches (SFT, parameter-efficient tuning) and when to prefer fine-tuning versus prompting.
Understanding of responsible AI principles, including bias, explainability, data privacy, and model limitations.
Ability to learn, experiment, and apply new AI frameworks, libraries, and cloud AI services with minimal supervision.
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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