Role overview
In this role, you will push the boundaries of visual AI — designing and deploying computer vision systems that span image generation, multimodal intelligence, and 3D scene understanding. You will be a part of SoftServe's AI and Data Science Center of Excellence — a team of 170+ AI experts. Your solutions will ship to production for world-leading clients, making a direct and measurable difference across industries.
Responsibilities
- Design and implement advanced computer vision solutions for image and video generation, enhancement, and understanding tasks using PyTorch and state-of-the-art deep learning architectures
- Build, fine-tune, and deploy generative AI models — including diffusion models, transformers, and vision-language models — optimizing them for production environments using ONNX, TensorRT, or Triton
- Collaborate with Data Scientists, MLOps Engineers, ML Architects, and business stakeholders to translate complex requirements into scalable, production-ready CV pipelines
- Develop and maintain end-to-end model training and evaluation pipelines across research and production environments, leveraging cloud infrastructure on AWS, GCP, or Azure
- Apply classical computer vision techniques — including camera calibration, feature matching, and homography estimation — to address real-world geometric and scene understanding challenges
- Contribute to technical direction, share knowledge across the CoE, and help advance innovation in areas such as 3D computer vision, anomaly detection, edge AI, or model compression
Basic qualifications
- Strong Python and PyTorch skills with 4+ years of experience in computer vision and deep learning, including building end-to-end training pipelines
- Solid knowledge of classical computer vision techniques, including camera calibration, feature matching, homography estimation, and other geometric methods
- Advanced experience with multimodal and generative AI systems, including transformers, diffusion models, and vision-language models
- Proven expertise in model optimization and deployment for production using tools such as ONNX, TensorRT, or Triton
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices for scalable model lifecycle management
- Specialized knowledge in at least one advanced domain: 3D computer vision, anomaly detection, edge AI, or model compression
- Analytical background with a degree in Computer Science, Applied Mathematics, Physics, or a related field
- Upper-intermediate or higher proficiency in spoken and written English
Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.
About the company
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Flexible work model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.