Kaizen Promoter - Abu Dhabi, United Arab Emirates - Al-Futtaim Automotive

Description

Experience level:Mid
Tech stack used: Python,AWS
Primary skills we consider: Python,Sklearn
Secondary skills we consider: AWS, Tensorflow,PyTorch, Fastai
Employment type: Permanent and Fulltime
Visa sponsorship: Available

Aboutus
Machine Medicine Technologies (MMT) usescomputer vision and computational statistics to enhance theneurological assessment of patients. Our first product, KELVIN-PD,allows motor assessments in Parkinson s disease to be performed,recorded and used both faster and better than has ever previouslybeen possible. KELVIN-PD is already in use at clinical sites acrossseveral countries and possesses a CE mark, being a class-I medicaldevice. MMT aims to build the platform into a generalised tool forpatient selection, surgical planning and device programming formachine brain interfacing, a revolutionary therapeutic innovation.

About you
You are anambitious and capable data scientist with a background incomputational statistics and machine learning, with multiple yearsof industry experience. You have put relevant statistical andmachine learning techniques into practice in production settings,understanding the pitfalls encountered with optimising datapipelines and applications. Previous work in a biomedical sectorwould be beneficial but not mandatory. You care about impact andwant to do work that matters.

List of main duties andresponsibilities:

• Applying statistical and ML techniques tointeresting problems.
• Authoring academicpapers and contributing to our research strategy.
• Deploying and managing code in a productionenvironment.
• Keeping up to date with relevantresearch.

Skills

• Strong coding skills in Python, and experiencewith commonly used data science libraries (sklearn, pandas, numpy).
• Strong understanding of statistical and MLtechniques (experience with Computer Vision would be beneficial).
• Experience deploying/scaling ML pipelines in aproduction environment, and/or academic publication authorshiprecord.
• Good communication and datavisualization skills.
• Familiar with git, bashand coding best practices.
• Familiarity withAWS (EC2, S3, Lambda, Batch) would be beneficial.
• Experience with deep learning frameworks(Tensorflow, PyTorch, Fastai) is beneficial but not necessary.

Experience

• 3+ years industry experience (or 1+ years and aPhD).

Qualifications

• BSc & MSc (at least one of these should bein statistics or data science).
• PhDpreferable.

Company Culture
Afast-moving startup, with an energetic and dynamic team, looking todisrupt the MedTech industry with AI. Our employees are encouragedto take on the sort of career development opportunities that cannotbe found at larger, more established, companies. We are in thehighly regulated medical device industry, so our engineering teamhas to have an even greater focus on quality, usability andversatility. We also like to blow off steam, whether that s playinga few rounds of table tennis in the office, or arranging an onlinegaming session.

Company Benefits

• Competitive salary
• Employee equity programme
• Pension
• 25 days annualleave (+ 8 bank holidays)
• Offices close toLondon Bridge, Bermondsey Street and BoroughMarket