- Strong software engineering background and experience in production-grade AI delivery systems
Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes)
- 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)
- 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
- 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
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.
Skills Required
- Strong software engineering background and experience in production-grade AI delivery systems
- Experience with automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization (Docker, Kubernetes)
- Proficient in at least one: C++/CUDA, Python/PySpark, Java/Scala
- Experience with cloud-native AI tools (Azure, AWS, GCP) and ML/LLM frameworks (LangChain, LangGraph, TensorFlow, PyTorch, OpenCV, Hugging Face)
- Strong in GPU-accelerated computing technologies (CUDA, Rapids, NeMo, NIM)
- Experience with Graph Theory or Knowledge Graph architectures and databases (Neo4j, cuGraph)
- Proficiency in model evaluation, distributed training, and hyperparameter optimization
- Proficient in large-scale data streaming and in-memory/database technologies (Spark, Kafka, Redis, Elasticsearch)
- Effective communicator able to explain complex technical ideas to technical and business audiences
- Ability to work independently in fast-paced, cross-functional environments
- Bachelor's or Master's degree in Computer Science, Applied Mathematics, or related technical field
- PhD (preferred) or academic/applied focus on AI, deep learning, or intelligent systems
- Familiarity with AI/ML lifecycle, model architectures (LLMs, RAG, vector search, MoE), and structured/unstructured data pipelines
Zensar Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zensar Technologies and has not been reviewed or approved by Zensar Technologies.
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Retirement Support — A 401(k) with company match and immediate vesting is highlighted, with broad fund options available.
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Wellbeing & Lifestyle Benefits — Work-life balance, remote/hybrid flexibility, and supportive teams are emphasized as strengths that enhance the overall experience.
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Parental & Family Support — Inclusive policies such as parental leave and access to EAP and dependent medical coverage are promoted across regions.
Zensar Technologies Insights
What We Do
Zensar is a leading experience, engineering, and technology solutions company. We conceptualize, build, and manage digital products for Forbes Global 2000 clients across the hi-tech engineering, banking and financial services, insurance, manufacturing and consumer services verticals. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity. Zensar’s expansive ecosystem of 60+ technology partners, including Oracle, Salesforce, SAP, Guidewire, Automation Anywhere, Adobe, and UiPath, enables us to deliver comprehensive solutions to clients, facilitating seamless integration and allowing them to leverage cutting-edge technologies and tools for enhanced business outcomes. Zensar is part of the USD 4.4 billion RPG Group. With headquarters in Pune, India, our 10,500+ employees, representing over 50 nationalities, work from 30+ locations across North America, UK/Europe, and South Africa. Visit us at www.zensar.com
