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Machine Learning & Python Backend Engineer at Biodock | Jobyssey

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Machine Learning & Python Backend Engineer

Machine Learning & Python Backend Engineer

Biodock · 1 year ago

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Category: ML ai
Experience: 3+ years

ai aws computer-vision docker ec2 graphql image-processing jupyter machine-learning matplotlib mongodb numpy opencv

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ℹ️ About the Position

Biodock empowers BioR&D labs to design and implement custom AI models for precision image analysis at scale.

We are looking for a skilled Machine Learning & Python Backend Engineer to contribute to the development and maintenance of backend services supporting our platform’s AI and image processing features. You’ll work closely with computer vision models and manage data flow through ML models in an efficient and scalable way.

Our stack

Backend + AI (this role): Typed scientific Python (Numpy), Pytorch Web: React, Apollo GraphQL, Typescript, Mongo, Node We use: Docker, Terraform, Redis, AWS, Serverless

🔨 What you'll do

Develop and maintain backend services and batch jobs that support image processing and AI features
Work with image data in Numpy arrays and manage data flow to/from machine learning models
Build scalable Python services that support model inference and data transformations
Collaborate with the infrastructure team to optimize deployment pipelines for ML models
Be exposed to every level of the company, working closely with the CEO to meet business goals and working off customer feedback.

🙋 Who you are

3+ years combination of backend development and machine learning experience
Proficiency in Python 3 and experience with Numpy
Familiarity with machine learning concepts and frameworks (e.g., PyTorch)
Experience working with image data
Experience working with tabular data (e.g., CSV, SQL)
You want to work at a top VC-backed company at the earliest stage to help build things from the ground up.

Nice to Have:

Experience with image processing tools like OpenCV, skimage, and matplotlib
Familiarity with Jupyter notebooks for prototyping and data exploration
Experience with AWS (S3, EC2, SQS, etc.)
Experience with Docker
Experience with MongoDB

💰 Benefits
Highly competitive pay and equity compensation
Unlimited vacation/sick leave