Machine Learning Engineer

Hi there! 

We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.

Are you the NEXT one? 

Type of contract

A B2B contract for your flexibility and competitive compensation package

Location

A remote work model encouraging work-life balance.

Job description

The role of a Machine Learning Engineer has many variations, we are not looking for someone who is good at everything, but people with in-depth knowledge of a particular domain of NLP, Computer Vision or Recommender systems. What is important to us is the foundation and basic understanding of the problems and ideas behind ML.We use ML methods in practice so we also value the ability to implement models in the form of API or integration with the client's system.

Core values

We believe that every problem has a solution, often hidden and not so obvious. Our job is to work them out and the best are born from imagination, cooperation and craftsmanship.

Responsibilities

How do we work?

We work with clients for their benefit and the benefit of their target users. We often act as consultants and architects, people who tear down the existing order, introducing changes and innovations. But just as often we act as craftsmen who must deliver software of the highest quality.

What will daily work look like?

You will be assigned to a team working on a project for one of our foreign clients. Your responsibilities will include: identifying research goals, literature review, formulating hypotheses, data collection & analysis, experimentation and testing.

Requirements

We expect knowledge of:

• Strong fundamentals of machine learning:
• types of ml problems: classification, regression, clustering, etc
• common evaluation measures: precision, recall, F1, IoU, ROUGE etc
• scikit-learn models (random forest, SVM, xgboost), ensemble models etc.
• understanding dimension reduction techniques (PCA, TSNE, Umap)
• Data preparation and visualization libraries (pandas, matplotlib etc.).
• Knowledge of current neural networks architectures (RNN, CNN, Transformers) and methods (transfer learning).
• Documented experience with one of the libraries: PyTorch or Tensorflow.
• Good knowledge of relational databases and experience with one of : PostgreSQL, MySQL, MS SQL, Oracle.
• Familiarity with Python.

Soft skills:

• Good communication skills in English (minimum B2).
• Problem solving and analytical thinking.
• Be nice and friendly.

Benefits

Work-life Balance

We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.

Reimbursed private medical care (Medicover) and Multisport

We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.

Leader’s support

Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday.

Technology focus

Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.

Growth review

Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.

Events

Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!

Workation

Team trips where you have a chance as a team not only to work together, but also integrate f2f.