Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)

Analyzing and interpreting the findings

Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes

Pre-sales activities

Min. 3 years of experience with Machine Learning (ML) and one of the following areas: Forecasting, Computer Vision (CV) or Natural Language Processing (NLP) projects

Very good knowledge of Python

Excellent English skills

Familiarity with theory behind various machine learning concepts

Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment

Basic skills in SQL

Knowledge of specific DS/ML/CV/NLP libraries

Pro-active and customer-oriented approach

Strong business acumen

Ability to come up with creative solutions to address customer problem

Team-player mindset

Stable employment. On the market since 2008, 1200+ talents currently on board in 7 global sites.

“Office as an option” model. You can choose to work remotely or in the office.

Flexibility regarding working hours and your preferred form of contract.

Comprehensive online onboarding program with a “Buddy” from day 1.

Cooperation with top-tier engineers and experts.

Certificate training programs. Lingarians earn 500+ technology certificates yearly.

Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

Grow as we grow as a company. 76% of our managers are internal promotions.

A diverse, inclusive, and values-driven community.

Autonomy to choose the way you work. We trust your ideas.

Create our community together. Refer your friends to receive bonuses.

Activities to support your well-being and health.

Plenty of opportunities to donate to charities and support the environment.

Modern office equipment. Purchased for you or available to borrow, depending on your location.