Position: Middle Data Scientist / NLP Engineer
Company: MWDN
Experience required: 3y
English level: intermediate

﻿Maverick Medical AI is set to revolutionize medical coding from tedious human intensive operation into autonomous coding. We’re hiring an NLP specialist to conduct Applied Algorithmic Research in the CTO group.

**Website: **
www.maverick-med.com

**We Offer: **
- People-oriented management without bureaucracy;
- The friendly climate inside the company is confirmed by the frequent comeback of previous employees;
- Flexible working schedule;
- Paid time off (18 working days per year, plus all national holidays and 9 sick days);
- Full financial and legal support for private entrepreneurs;
- Education compensation;
- Free English classes with native speakers or with Ukrainian teachers (for your choice);
- Dedicated HR.

**Requirements: **
- M.Sc. (Phd preferred) in Computer Science, research track, ideally with a thesis in deep learning, computational linguistics, knowledge graphs;
- Proven ability of conducting reproducible applied research;
- Ability of articulating research questions, goals, outline, work plan, results and insights;
- High proficiency in Python and its data science stack (Pandas, sklearn, Jupyter notebooks, etc.);
- 3+ years of experience in applied research (Deep Learning);
- 2+ years of hands-on experience in engineering in production environments
NLP/NLU/NLG experience in document classification, text generation, summarization, NER;
- Deep understanding of artificial deep neural networks architectures, algorithms, infrastructure, tooling and practices, specifically in NLP/NLU/NLG;
- Upper-intermediate level of English;

** Responsibilities:**
- Data acquisition;
- Interaction with domain experts including: Annotation team(s), Auditors;
-  Interacting with Product Managers and Peer researchers;
-  Research engineering;
- Data cleaning;
- Coding consistency;
- Synthetic medical data generation;
- Designing, training, evaluating, improving and maintaining machine learning models, including cutting edge deep learning models;
- Designing, implementing and maintaining machine learning and research pipelines;
- Conducting applied algorithmic and reproducible research;
- Delivering timely updates to ever improving autonomous coding capabilities;
- Focuse on NLP, text mining, transformers, BERT, GPT;