ML Engineer

Roles and responsibilities

• Designing ML systems.
• Researching and implementing ML algorithms and tools.
• Selecting appropriate data sets.
• Picking appropriate data representation methods.
• Identifying differences in data distribution that affects model performance.
• Verifying data quality.
• Transforming and converting data science prototypes.
• Performing statistical analysis.
• Running machine learning tests.
• Using results to improve models.
• Training and retraining systems when needed.
• Extending machine learning libraries.
• Developing machine learning apps according to client requirements.

Skills and qualifications 

• Advanced math and statistics skills, surrounding subjects such as linear algebra, calculus, and Bayesian statistics.
• Advanced degree in computer science, math, statistics, or a related degree.
• Master’s degree in machine learning, neural networks, deep learning, or related fields.
• Strong analytical, problem-solving, and teamwork skills.
• Software engineering skills.
• Experience in data science.
• Coding and programming languages, including Python, Java, C++, C, R, and JavaScript.
• Experience in working with ML frameworks.
• Experience working with ML libraries and packages.
• Understand data structures, data modeling, and software architecture.
• Knowledge in computer architecture.

Nice to haves

• You like to play board games. A lot. Oh, and Monopoly doesn’t count!
• You use rubber ducks when debugging and like pair programming.
• You are an outgoing team player and see the big picture!
• you think outside the box and dare to take initiative.
• You are open-minded, reliable, and witty.
• You are an AWSome Python Ninja!
• You have a business-oriented, analytical, and problem-solving mindset.
• You have a minimum of 2 years of related experience.

We have a mile-long list of cool AI projects to show.

We have developed some of the most innovative and exciting AI-powered solutions for startups like FoodDocs, Eurora, E-Agronom, Plumbr, ZeroTurnaround, Skype. Our machine learning solutions range from e-Government’s Kratt program to personal recommendation systems for Kaubamaja, COOP, or Rahva Raamat, from NLP solutions for media monitoring to personalized medicine applications. Just name it!

STACC is known to make you feel like home.

Our team of 30+ data professionals consists of young and energetic people who like to spend time outside the work hours. There are always some fun happenings going on: daily health minutes, baking on Fridays in our fully equipped kitchen, guitar jamming sessions, and board game nights are just a little peek into our social life here in STACC.

Work from a modern office or from your home.

Our modern and cozy office is located at the Delta building, right in the Tartu city center next to the river. If you prefer to work remotely from home, it is supported! We also offer sports compensation, frequent team events, and motivating performance-related pay.