Informacje o stanowisku

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, were 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

What it’s like to be a Machine Learning Engineer at STX Next

As a Machine Learning Engineer at STX Next, you’ll be empowered to apply your unique strengths within specific domains like Natural Language Processing, Computer Vision, or Recommender Systems. We’re not after experts in everything, but individuals with a deep understanding of machine learning principles who are driven by the ideas shaping the field. Here, theory meets practice as you’ll not only design models but also implement them as APIs and integrate them seamlessly into client systems.

At STX Next, we believe every challenge holds the potential for innovation. By blending imagination, collaboration, and craftsmanship, we work to uncover solutions—even when they’re not immediately visible. Our goal is to create meaningful impact with every project. We work side-by-side with our clients as both consultants and architects, introducing bold ideas and reshaping conventions to serve their needs and enhance end-user experiences. Whether we’re bringing fresh ideas or ensuring software quality, our focus is on delivering reliable, high-value solutions.

Responsibilities

• Work on international projects with a diverse team
• Identifying research goals and conducting literature reviews.
• Formulating hypotheses and collecting data.
• Conducting data analysis, experimentation, and testing.
• Collaborating with cross-functional teams to integrate machine learning models into production environments.

Requirements

Core Machine Learning knowledge

• Understanding of key machine learning problem types (e.g., classification, regression, clustering).
• Familiarity with common evaluation metrics (e.g., precision, recall, F1, IoU, ROUGE).
• Experience with popular models and algorithms (e.g., random forests, SVMs, XGBoost, ensemble methods).
• Knowledge of dimensionality reduction techniques (e.g., PCA, t-SNE, UMAP).
• Proficiency in data preparation and visualization libraries (e.g., pandas, matplotlib).
• Familiarity with current neural network architectures (e.g., RNNs, CNNs, Transformers) and methods (e.g., transfer learning).
  

Technical skills

• Documented experience with at least one major machine learning library (e.g., PyTorch, TensorFlow).
• Strong understanding of relational databases and hands-on experience with one of the following: PostgreSQL, MySQL, MS SQL, or Oracle.
• Proficiency in Python, the primary language used in our ML projects.
  
• Excellent communication skills in English (minimum B2).
• A proactive attitude towards problem-solving and analytical thinking.
• A friendly and collaborative approach to teamwork—being nice goes a long way!

Work-lifeBalance

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 forboth 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.

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

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 havea chance as a team not only to work together, but also integrate f2f.

Poznań - Oferty pracy w okolicznych lokalizacjach