CactusSoft is a software development company, providing full-cycle services for the European market. More than 170 companies increased business productivity using solutions developed by CactusSoft programmers. The company has been regularly included in the listings of the best software development companies in Belgium and Europe.
Currently we are expanding our team and looking for Senior Machine Learning Engineer to join the team of devoted professionals responsible for developing a Fintech AI-driven system. The tool implements artificial intelligence and machine learning techniques to serve the blockchain investment market.
What we expect from the candidate:
- 4+ years professional experience in Machine Learning
- Industry experience in development and deployment Machine Learning based models to production.
- Proficiency in Python
- Proficiency with AWS tools including SageMaker, Athena, S3 and Lambda.
- Experience with Bayesian networks.
- Solid Computer Science skills in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, and source control management.
- Comfortable challenging assumptions and thinking of creative ways to tackle problems.
- English level - Intermediate or higher.
Will be a plus:
- Proficiency with Deep Learning algorithms and packages.
- Proficiency with Java, SQL and Spark.
- Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
To ensure your comfortable working environment we offer:
- Flexible working hours (the schedule can be comfortable for both early-risers and night-owls).
- Opportunity to work remotely.
- Work-related courses, certifications and books (we have our own corporate library).
- Health insurance and healthy work environment.
- Online English classes several times a week.
- Good office location in a quiet city center.
- Corporate parties and team building events.