Strong foundation in mathematics: linear algebra, probability, stochastics, optimization theory
Expertise in mathematical programming, algorithm design, and optimization techniques
Skilled in formulating complex problems and designing scalable algorithms (e.g. linear/non-linear programming, convex optimization, combinatorial algorithms, etc.) and experience improving algorithms for efficiency and scalability
Deep knowledge of machine learning, deep learning, and statistical modeling
Strong in Graph Theory or Knowledge Graph related architecture and database (e.g. Neo4j, cuGraph)
Hands-on experience with neural networks, transformers, diffusion models, or generative modeling
Familiarity with NLP, computer vision, or domain-specific AI applications
Proficient in model evaluation, validation, and performance metrics
Experience with AI/ML frameworks and libraries (e.g. TensorFlow, PyTorch)
Familiarity with software development practices (version control, testing, GPU accelerated computing)
Strong analytical thinking and problem-solving skills
Ability to derive insights and prove algorithmic effectiveness through rigorous logic and math
Demonstrated creativity in tackling open-ended research and real-world AI challenges
Clear communicator, able to translate complex ideas for technical and non-technical audiences
Effective collaborator in cross-functional teams with researchers, engineers, and business partners
Skilled in writing technical documentation, reports, and academic publications is a plus
Passion for AI advancement and continuous learning
Active interest in emerging AI research, with contributions to publications, open-source projects or conference preferred
Ph.D.’s or Master’s in Computer Science, Applied Mathematics, Engineering, or related field with AI/Optimization focus
Proven experience in applied AI Research with deployment of AI solutions in real-world settings
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 foundation in mathematics: linear algebra, probability, stochastics, optimization theory
- Expertise in mathematical programming, algorithm design, and optimization techniques
- Skilled in formulating complex problems and designing scalable algorithms (linear/non-linear programming, convex optimization, combinatorial algorithms)
- Deep knowledge of machine learning, deep learning, and statistical modeling
- Strong in Graph Theory or Knowledge Graph architecture and database (e.g. Neo4j, cuGraph)
- Hands-on experience with neural networks, transformers, diffusion models, or generative modeling
- Familiarity with NLP, computer vision, or domain-specific AI applications
- Proficient in model evaluation, validation, and performance metrics
- Experience with AI/ML frameworks and libraries (e.g. TensorFlow, PyTorch)
- Familiarity with software development practices (version control, testing, GPU accelerated computing)
- Strong analytical thinking and problem-solving skills
- Ability to derive insights and prove algorithmic effectiveness through rigorous logic and math
- Demonstrated creativity in tackling open-ended research and real-world AI challenges
- Clear communicator, able to translate complex ideas for technical and non-technical audiences
- Effective collaborator in cross-functional teams with researchers, engineers, and business partners
- Skilled in writing technical documentation, reports, and academic publications
- Active interest in emerging AI research, with contributions to publications, open-source projects or conferences
- Ph.D. or Master's in Computer Science, Applied Mathematics, Engineering, or related field with AI/Optimization focus
- Proven experience in applied AI research with deployment of AI solutions in real-world settings
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
