Expert-level Python programming skills with solid understanding of algorithms, data structures, and OOP.
Strong grounding in Deep Learning, Machine Learning, and Generative AI.
Strong understanding of LLMs (Large Language Models) and transformer-based architectures.
Hands-on experience with LangChain, LangGraph, and other LLM orchestration frameworks.
Proficiency in RAG (Retrieval-Augmented Generation) design and implementation.
Experience in document ingestion, data embedding, and vector database management (FAISS, Pinecone, Chroma, Weaviate).
Familiarity with TensorFlow, PyTorch, and Hugging Face ecosystems.
Experience and knowledge on AI Agents
Strong knowledge of mathematical foundations -- linear algebra, probability, statistics.
Experience with cloud AI platforms (EX: GCP Vertex AI).
Good Attitude
Good Communication skills
Enthusiasm to learn
Hands-on coding skills is must
Experience more than 7+ years is must
Experience with Big Data frameworks (Hadoop, PySpark) for large-scale data processing.
Experience in MLOps, Docker, Kubernetes, and CI/CD pipelinesfor AI model deployment.
Exposure to Kafka for real-time streaming data pipelines.
Knowledge of time-series forecasting techniques and applications.
Knowledge of API development for AI model serving (FastAPI, Flask).
Experience in multi-modal learning (combining text, images, video, or speech).
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 was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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