About this role
The Senior Python Engineer will join a team developing and productizing AI and computer vision solutions for PC, edge devices, and cloud environments. Responsibilities include building production-grade Python applications, data and computer vision pipelines, and integrations. The engineer will work with Docker, AWS cloud services, and Linux-based environments to support AI-based solutions. The role involves containerizing applications, maintaining CI/CD pipelines, and developing reusable Python packages. The position is focused on AI/ML development workflows and optimizing software for resource-constrained edge environments.
Skills & technologies
Nice to have
- edge computing
- NVIDIA Jetson
- CUDA
- TensorRT
- GStreamer
- Raspberry Pi
- machine learning
- deep learning
- signal processing
- ROS
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Senior Python Engineer - Computer Vision & Edge AI
Grid Dynamics | Ukraine
We are looking for a Senior Python Engineer to join a team developing and productizing AI and computer vision solutions for PC, edge devices, and cloud environments.
You will focus on building production-grade Python software, data and computer vision pipelines, and integrations that support AI-based solutions across cloud and edge environments.
This role is a great fit for a strong Python engineer who enjoys working close to AI/ML, computer vision, cloud infrastructure, and edge technologies.
What you’ll do
- Develop and maintain production-grade Python applications and services.
- Build and support computer vision and AI/ML pipelines.
- Develop data processing and integration components for AI-based solutions.
- Containerize applications using Docker and maintain production environments.
- Work with AWS cloud services, computing, and storage solutions.
- Develop and optimize software for Linux-based and edge environments.
- Integrate Python applications with AI/ML and computer vision components.
- Build and maintain CI/CD pipelines, automated tests, and regression testing.
- Develop reusable Python packages and maintain internal libraries.
- Work with AI edge devices and resource-constrained environments.
Requirements
- 4+ years of professional experience with Python.
- Strong experience developing production software with Python.
- Hands-on experience with Computer Vision, AI/ML, or image processing.
- Strong experience with Docker and containerization.
- Proficiency with Git and modern version-control workflows.
- Strong Linux skills and experience working in Linux environments.
- Experience with AWS or another major cloud platform.
- Understanding of CI/CD, automated testing, unit testing, and regression testing.
- Experience with Python packaging and PyPI.
- Experience developing and maintaining production-quality software.
- Understanding of AI/ML development workflows.
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- English B2
Nice to have
- Experience with edge computing and AI edge devices.
- Experience with NVIDIA technologies, including NVIDIA Jetson, CUDA, or TensorRT.
- Experience with GStreamer or multimedia/data streaming pipelines.
- Experience deploying or optimizing computer vision models on edge devices.
- Experience with Raspberry Pi or similar embedded platforms.
- Knowledge of machine learning and deep learning concepts.
- Experience with hardware-accelerated inference or ML accelerators.
- Knowledge of signal processing.
- Familiarity with ROS (Robot Operating System).
About us:
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
