Role: Sr. Python Developer
Experience: 5+ Years
Location: Remote
Duration: 4–6 Months
Flexible work schedule with overlap to US & UK teams
Shift: 11:00 AM to 9:00 PM IST
Key Responsibilities:
● Design and develop efficient, scalable, and reusable Python-based architectures.
● Optimize system performance using multithreading and multiprocessing techniques.
● Collaborate with AI teams to enhance Computer Vision algorithms for speed and
memory efficiency.
● Adapt applications for deployment on Edge AI hardware and cloud environments.
● Develop and maintain Pub/Sub-based distributed systems using RabbitMQ or Redis.
● Ensure smooth and reliable data flow between Edge devices and backend systems.
● Build robust solutions while maintaining code quality, scalability, and maintainability.
● Take ownership of technical deliverables and independently drive development tasks.
Required Skills:
● Strong expertise in Python development and Python internals (Decorators, Generators, Context Managers, Type Hinting).
● Excellent understanding of Data Structures, Algorithms, and problem-solving
techniques.
● Experience working with Linux environments.
● Hands-on experience with NVIDIA Jetson Edge AI platforms.
● Proficiency in NumPy, Pandas, and OpenCV.
● Experience with RabbitMQ, Redis, or similar messaging systems.
● Knowledge of SQL databases (PostgreSQL) and NoSQL databases (MongoDB/Redis).
● Understanding of C++ integration with Python or low-level Python optimization.
● Basic understanding of image processing concepts and workflows.
● Strong analytical mindset with a high level of ownership and accountability.
Preferred / Brownie Point Skills:
● Hands-on experience with OpenCV-based image processing solutions.
● Understanding of GNSS, GPS, and Inertial Measurement Units (IMUs).
● Experience working in AI/ML-driven environments.
● Expertise in FastAPI or other modern asynchronous Python frameworks.
● Experience building high-performance and edge-computing applications.
Duration:
● 4–6 Months Contract
Pay: ₹1,000,000.00 per year
Work Location: Remote
