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Build and fine-tune Generative AI models (LLMs, diffusion models, etc.) for various applications.
Work with agent and multi-agent frameworks to build task-specific or collaborative AI systems.
Develop and deploy ML pipelines for training, inference, and evaluation.
Collaborate with cross-functional teams (Product, Data Engineering, DevOps) to integrate ML models into products.
Conduct data preprocessing, exploratory analysis, and feature engineering.
Stay updated with state-of-the-art research in ML/GenAI and apply it to practical problems.
Optimize models for performance, scalability, and efficiency.
Work with APIs like OpenAI, AZURE OpenAI, and others for rapid prototyping and deployment.
Contribute to internal tools and frameworks to support ML experimentation and monitoring.
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Required Skills & Qualifications
Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.
3 to 5 years of hands-on experience in Machine Learning and/or NLP projects.
Proficiency in Python and popular ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Practical experience with agent and/or multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, AutoGPT, BabyAGI, etc.) is highly desirable.
Experience working with LLMs (GPT, Claude, etc.).
Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
Strong understanding of data structures, algorithms, and ML concepts.
Experience in deploying models using tools like Docker, FastAPI, Flask, or MLflow.
Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.
Experience with vector databases (e.g., PG Vector, Pinecone, Weaviate).
Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow).
Publications or contributions to open-source projects in ML/GenAI.
Familiarity with ethical AI principles and responsible AI practices
Key Responsibilities
Build and fine-tune Generative AI models (LLMs, diffusion models, etc.) for various applications.
Work with agent and multi-agent frameworks to build task-specific or collaborative AI systems.
Develop and deploy ML pipelines for training, inference, and evaluation.
Collaborate with cross-functional teams (Product, Data Engineering, DevOps) to integrate ML models into products.
Conduct data preprocessing, exploratory analysis, and feature engineering.
Stay updated with state-of-the-art research in ML/GenAI and apply it to practical problems.
Optimize models for performance, scalability, and efficiency.
Work with APIs like OpenAI, AZURE OpenAI, and others for rapid prototyping and deployment.
Contribute to internal tools and frameworks to support ML experimentation and monitoring.
________________________________________
Required Skills & Qualifications
Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.
3 to 5 years of hands-on experience in Machine Learning and/or NLP projects.
Proficiency in Python and popular ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Practical experience with agent and/or multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, AutoGPT, BabyAGI, etc.) is highly desirable.
Experience working with LLMs (GPT, Claude, etc.).
Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
Strong understanding of data structures, algorithms, and ML concepts.
Experience in deploying models using tools like Docker, FastAPI, Flask, or MLflow.
Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.
Experience with vector databases (e.g., PG Vector, Pinecone, Weaviate).
Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow).
Publications or contributions to open-source projects in ML/GenAI.
Familiarity with ethical AI principles and responsible AI practices
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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