- Develop and implement deep learning solutions for image data processing, utilizing convolutional networks and real-time object detection models like YOLO and SAM.
- Design and construct data processing pipelines, ensuring efficient and optimized data flow for AI models.
- Build complex software packages in Python, applying software engineering best practices for robust and scalable solutions.
- Integrate REST backends into enterprise-level solutions, enabling seamless data exchange and system interoperability.
- Utilize AI software frameworks such as PyTorch and TensorFlow, and model formats like ONNX, to develop and deploy advanced AI models.
- Streamline AI development and deployment processes using ClearML or similar platforms, enhancing efficiency and collaboration.
- Evaluate new technologies and model approaches through hands-on prototyping, staying at the forefront of AI innovation.
- Communicate effectively with a diverse range of stakeholders, including users, business analysts, subject-matter experts, IT security experts, and inspectors.
- Collaborate with the team to identify and address technical challenges, providing innovative solutions and ensuring project success.
- Expertise in developing deep learning solutions, with a focus on image data processing and real-time object detection, for over 3-5 years.
- In-depth knowledge of AI software frameworks (PyTorch, TensorFlow) and model formats (ONNX) for efficient model development and deployment.
- Experience in designing and implementing data processing pipelines, ensuring optimized data flow and efficient AI model training.
- Proficiency in developing complex software packages using Python, applying software engineering principles for robust and scalable solutions.
- Hands-on experience in building REST backends for enterprise solutions, enabling seamless data integration and system connectivity.
- Familiarity with ClearML or similar platforms for streamlining AI development and deployment processes, enhancing collaboration and efficiency.
- University degree in Software Engineering or a related field, with a strong foundation in AI and software development.
- Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to diverse audiences.
- Fluency in written and spoken English, ensuring clear and concise communication with international stakeholders and team members.
- A proactive and solution-oriented mindset, with a passion for staying updated with the latest advancements in AI and software technologies.
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
- 3-5 years experience developing deep learning solutions for image processing and real-time object detection
- Proficiency in Python and software engineering best practices for building complex packages
- Hands-on experience with PyTorch, TensorFlow and ONNX for model development and deployment
- Practical experience with YOLO and SAM (real-time object detection/segmentation)
- Designing and implementing data processing pipelines for AI model training and inference
- Experience building and integrating REST backends for enterprise solutions
- Familiarity with ClearML or similar MLOps/platform tools to streamline development and deployment
- University degree in Software Engineering or a related field
- Excellent communication and presentation skills; fluency in written and spoken English
- Proactive, solution-oriented mindset and willingness to evaluate new AI technologies through prototyping
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









