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?
Salary
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
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 network 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
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 to integrate face-to-face.
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