Position: Data Science / Machine Learning Engineer (Python)
Company: Neurons Lab
Category: Data Science
Experience required: 5y
English level: upper
Published: 2021-07-01T00:00:00+03:00

**Challenges & responsibilities**

● applying wide range of computational methods to the data
● prioritizing the optimal technology set in a particular project
● research papers analysis
● hands-on implementation of the crucial solution pieces

**Behavioral characteristics**
● aspiring
● with ability to learn + continuous learner
● focused on result and problem-solving
● opened to feedback
● with entrepreneurial mindset
● with systematic thinking
● great communicator
● agile
● innovative, explorative
● with empathy

**Skills**
● Python
● CV (pose estimation preferably)
● AWS
● Git
● Intermediate English

**Knowledge**
● general machine learning knowledge
● knowledge in the specific ML-related technologies
● CV / Recommender Systems /  Advanced analytics / Statistics / Numerical Optimization / Bayesian Modeling
● health/bio domain expertise (preferably)

**Experience**
● Python (>5 year)
● machine learning solutions delivery in our domain (>3 year)
● Git
● Kaggle

**Conditions:**
● part time, 20h/week, 3 month
● 25-50$/h
● Democratic management style
● Ability to work remotely

**Project overview**
**Executive summary**
● The aim of the project is to build a solution to support physiotherapist decision
making regarding patient’s orthopedic problem based on pose photos
● During discovery phase, Company and Customer will finalized the vision for
the ML/AI development of the project that will focus on the data analysis from
the patient’s photos
● Project will be related to the PoC (proof of concept) solution development and deployment in cloud or edge.

**Project success criteria**
● Developed ML models that will process pose photo in rules-based maneer
● Functional service deployed in cloud or edge based on developed model
● Testing the developed solutions on the data from the actual final users