Build and deploy ML and GenAI solutions across use cases like fraud detection, credit risk, personalization, customer servicing, and commerce experiences Design and implement LLM-powered applications (RAG pipelines, copilots, autonomous/agentic workflows) Integrate AI models into production systems with APIs, microservices, and event-driven architectures Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn) Experience with LLM frameworks (LangChain, LlamaIndex, vector DBs like Pinecone/FAISS) Solid understanding of data structures, algorithms, and system design At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.