Senior Python Engineer (Computer Vision)
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.
Essential functions
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.
Qualifications
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
Would be a plus
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)
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
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.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.