Tech / Team Lead Data Science (offline)

Requirements:
- MSc or PhD degree in Computer Science, Applied Math or related field
- 5+ years of experience in Software Engineering and ML
- algorithms and data structures knowledge (e.g. divide and conquer, graph algorithms, dynamic programming, stacks/queues, heaps)
- background in Mathematics (linear algebra, discrete math, probability theory and statistics, optimization theory)
- knowledge of Computer Vision algorithms (object detection, recognition, feature extraction, matching, projective geometry, pose estimation, 3d reconstruction)
- classic ML algorithms and approaches expertise (e.g. logistic regression, regularization, xgboost, etc.)
- neural networks for image and sequence modelling experience (e.g. CNN, LSTM)
- strong knowledge of Python
- experience with Unix tools (e.g. bash scripting)
- experience with cloud platforms (e.g. GCP or AWS)
- self-sufficiency: being able to work and deliver with the minimal support required
- a proven track record of project implementation from PoC to production
- strong team-work focus
- good spoken and written English (B2+)

Would be a plus:
- team lead experience
- experience with logic programming (e.g. Prolog) or functional programming languages
- experience with Program Synthesis/Inductive Logic Programming techniques
- SQL, Java, R, or C++ knowledge
- NLP experience (text categorization, NER, parsing)
- knowledge of graphical models (CRF, HMM, PCFG, etc.)
- development of parsers and Domain Specific Languages
- participant of Kaggle, math/coding competitions

Responsibilities:
As a member of the Machine Learning team, you will participate in multiple projects related to automated processing of financial documents in various formats (Intelligent Document Processing) that includes structure recognition, document parsing, information extraction and question answering.
In particular you will:
- collaborate with business analysis, development, and operations teams;
- capture key business requirements in communication and cooperation with the key business stakeholders;
- develop document recognition technology using cutting-edge approaches to document recognition.
It will include:
- implementation and fine-tuning of custom OCR models in noizy/restricted environment;
- pose estimation, document rectification;
- creation of shallow parsers and document categorization models;
- object detection, form fields extraction, tables detection and parsing;
- analyze state-of-the-art papers, benchmark different approaches to document recognition;
- develop of PoC (proof of concept) and demo prototypes to validate requirements and design;
- develop production-ready solutions in close cooperation with development team;
- mentor and manage interns/junior team members.

About EPAM Systems (Spain, Malaga)

Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

EPAM is committed to providing our global team of 60,000+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

Company website:
https://epam.com

DOU company page:
https://jobs.dou.ua/companies/epam-systems/