Position: Lead Data Science/Machine Learning Engineer
Company: AltexSoft
Experience required: 3y
Category: Data Science
English level: upper
Published: 2022-01-01T00:00:00+02:00

AltexSoft proudly organizes the biggest practical AI conference in Ukraine – AI Ukraine.

**Required Skills:**

 Good knowledge of Machine Learning algorithms and Data Analysis approaches
 Good knowledge of Python language, pandas, Scikit-learn, plotly/seaborn, etc.
 Good knowledge of databases and SQL
 Experience in ML productionalization (Flask or alternative web frameworks, Docker, etc.)
 Understanding and ability to work according to CRISP-DM or Scrum for DS methodologies
 Team leadership skills and real experience
 Experience in DS projects estimation and client engagement process
 Experience in client consulting on DS topics
 Ability to solve complex algorithmic problems
 Willingness to learn new things and grow professionally
 At least 3 years of experience in the Data Science area
 Upper-Intermediate level of English
**Desired Skills:**

 Experience in RecSys, NLP and/or CV area
 Knowledge of Deep Learning, experience with PyTorch or TensorFlow
 Experience in NoSQL databases (MongoDB, Redis, etc.)
 Experience with MLOps tools
 Good knowledge of at least one general-purpose programming language (C++, Java, C#, something else).
**Responsibilities:**

As a Lead Data Scientist in AltexSoft you will be responsible for designing and leading ML research and engineering using state-of-the-art algorithms and MLOps practices for different projects. You will also participate in client consulting, requirements clarification, solution algorithm creation, and high-level estimates preparation. You will create Proof of Concepts, communicate the ML solutions with clients' business and technical people and guide technical teams on different stages of the DS process.
As part of the Data Science team, you will work in close collaboration with Company’s Sales team, Client’s stakeholders, Company’s and Client’s Technical Teams, Project and Delivery Managers.