2026 Freelance ML/Python Developer

Freelance Sr-level Python Developer (Machine Learning)

We have an opportunity to join an exciting startup in the smart consumer appliance space!

We are seeking a Freelance Sr-level Backend Developer (Machine Learning/Python). The role will tentatively start as soon as possible (June) and will continue through the end of the year. The role will be remote (but if it transitions to full-time, the role will be based in NYC).

Expectations:

• 5+ years of professional experience developing software in Python, with a strong focus on machine learning and applied AI.

• Hands-on experience with state-of-the-art computer vision architectures and object detection frameworks, including models such as YOLO, DETR, ResNet, and similar approaches.

• Deep expertise with PyTorch, including custom model development, transfer learning, training optimization, and deployment of production-grade machine learning systems.

• Hands-on experience developing, optimizing, and deploying real-time machine learning inference pipelines on custom Nvidia GPU hardware, with a strong understanding of performance tuning, memory management, latency reduction, and edge AI deployment constraints.

• Proven experience developing, training, and optimizing custom classification models across a variety of machine learning techniques and model architectures.

• Experience leveraging modern data annotation and labeling workflows, including open-source platforms and segmentation tools such as Meta's Segment Anything Model (SAM).

• Working knowledge of AWS cloud infrastructure and services used to support machine learning workflows and deployments.

• Experience operating within Agile development environments and collaborating across cross-functional teams.

Nice to Have

• Experience developing APIs and backend services using frameworks such as Flask, Django, or similar web technologies.

• Familiarity with Ruby and Ruby-based applications.

• Experience working within Ubuntu Linux environments and deploying solutions to embedded or edge computing platforms.

• Familiarity with containerization technologies such as Docker and related deployment workflows.

Hourly rate dependent on years of experience, $100 up to $140/hour.

Direct candidates only.