DE&A - AIML - Deep Learning - Generative AI

• Strong software engineering background and experience in production-grade AI delivery systems
• Proficient in at least one skill in C++/CUDA, Python/PySpark, Java/Scala
• Good experience in cloud-native AI tools (Azure, AWS, GCP), Agentic/DL/LLM/ML frameworks (React, LangChain, LangGraph, TensorFlow, PyTorch, OpenCV, Hugging Face), and AIOps platforms
• Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.)

• Strong in Graph Theory or Knowledge Graph related architecture and database (e.g. Neo4j, cuGraph)

• Proficiency in model evaluation, distributed training, and hyperparameter optimization

• Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search)

• Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes)

• Proficiency in model evaluation, distributed training, and hyperparameter optimization
• Get familiar with AI/ML lifecycle, model architectures (including deep reinforcement learning, LLMs, RAG, vector search, MoE, foundation models), and structured/unstructured data pipelines
• Effective communicator who can explain complex technical ideas to technical and business audiences

• Ability to work independently in fast-paced, cross-functional environments

Preferred Skills

• Experience in regulated industries (e.g., finance, healthcare, insurance)
• Excellent communication and stakeholder engagement skills
• Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs)
• Solid in AI/ML algorithms including Neural Network, Transformers, Diffusions, Generative Modeling, Bayesian Inference, Reinforcement Learning, BERT/CLIP
• Proficient in API, MCP and Microservices technologies
• Track records in large-scale, real-time AI/GenAI/AgenticAI/ML database and solution technologies
• Background in responsible AI/ML, model interpretability, and fairness auditing

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.

• Bachelor's or Master's degree in Computer Science, Applied Mathematics, or a related technical field; PhD preferred

• Academic or applied focus on AI, deep learning, or intelligent systems is preferred