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14 июля 2021

Data Science Team Lead (вакансия неактивна)

Харьков, удаленно

The project is a digital transformation, cognitive computing, artificial intelligence software company.

The project is seeking a brilliant, creative and highly motivated Full Stack Team Leader to join our growing team. This person will form task forces to prototype, develop, and deliver native cloud XaaS applications, providing strategic innovative and cost-effective solutions. The developer will have a crucial part in contributing to the roadmap of a scalable AI infrastructure with a web interface and will need to master a wide variety of cutting-edge technologies, working in a semi-autonomous environment.
As a Full Stack Team Leader in BlackSwan Technologies , you will lead a team of talented developers, working in a truly Agile environment where code is deployed several times a day and utilizing cutting-edge technologies.


What is the tech stack of the project:

— Mathematical foundation including: linear algebra, vector calculus, probability, and statistics. Experience implementing this math effectively in software (e.g. Python, numpy)
Strong foundation in machine learning & deep learning concepts including: supervised and unsupervised learning, transfer learning, ensembling, classification, regression, clustering, bias & variance, regularization, overfitting & underfitting, Logistic & Linear regressions, Decision Trees, MLP, RNNs
— Strong foundation in natural language processing concepts including: bag-of-words & TF-IDF, n-grams, word & text embedding, NER, transformers, text classification & similarity
Proficiency in Python and PyData stack (numpy, scipy, pandas, scikit-learn)
— Fluency with popular NLP libraries (spaCy, NLTK, transformers)
— Hands-on experience with Deep Learning frameworks such as PyTorch
— Experience working in a Linux environment
— Basic Git knowledge.

What A Great Candidate Looks Like:

  • Work closely with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context
  • Provide mentorship to other ML engineers and Data Scientists in the team
    Be hands-on and involved with every stage of the ML product development cycle
  • Design, extend and review ML experiments and solutions
  • Evaluate, justify and communicate ML models’ performance to various stakeholders
  • Write clean and tested code that can be maintained and extended by other fellow ML engineers
  • Influence the Machine Learning development culture to be innovative
  • Establish and extend standards and best practice for ML engineering
  • Contribution to research activities in ML domain inside the company

Requirements:

  • 2+ years as Team Leader, working with Agile methodologies
  • 5+ years of industry and research experience in developing machine learning products
  • Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions, and methodology to both internal and external customers
  • Ability to frame business requirements into Machine Learning problems that you enjoy solving
  • A strong predilection for good software and the processes that make it
  • Mathematical foundation including: linear algebra, vector calculus, probability, and statistics. Experience implementing this math effectively in software (e.g. Python, numpy)
  • Strong foundation in machine learning & deep learning concepts including: supervised and unsupervised learning, transfer learning, ensembling, classification, regression, clustering, bias & variance, regularization, overfitting & underfitting, Logistic & Linear regressions, Decision Trees, MLP, RNNs
  • Strong foundation in natural language processing concepts including: bag-of-words & TF-IDF, n-grams, word & text embedding, NER, transformers, text classification & similarity
  • Proficiency in Python and PyData stack (numpy, scipy, pandas, scikit-learn)
  • Fluency with popular NLP libraries (spaCy, NLTK, transformers)
  • Hands-on experience with Deep Learning frameworks such as PyTorch
  • Experience working in a Linux environment
  • Basic Git knowledge: creating and merging branches, cherry-picking commits, examining the diff between two hashes. More advanced Git usage is a plus, particularly: development on feature-specific branches, squashing and rebasing commits, and breaking large changes into small, easily-digestible diffs
  • Experience with SQL
  • Understanding of algorithm complexity and performance implications
  • Knowledge of classical data structures and algorithms


We are offering:
— Projects that use advanced, cutting-edge technologies. The ability to switch projects, try yourself in different roles;
— Fully-equipped office space located close to Botanichniy sad metro station;
— Possibility of remote work;
— Great team and excellent environment, that will help you to improve your soft and hard skills;
— 5-day working week, 8-hour working day, flexible schedule (You decide your work hours);
— Annual Paid vacation — 15 b/days + unpaid vacation;
— Paid Sick-leaves — 5 b/days;
— Paid public holidays according to the Ukrainian legislation;
— Bookkeeping and accounting will be maintained by the professional accountant;
— Competitive bonuses for a personal recommendation of new employees;
— Bonuses for achieving quarterly KPIs;
— Internal TechTalks, corporate library, English lessons ;
— Fun summer and winter corporate parties, team buildings and other events.