Machine Learning Engineer @ STX Next

3 tygodni temu

Poznan, Polska STX Next Pełny etat

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.
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.
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.
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.

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.
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.
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.
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.
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.
,[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: Machine learning, scikit-learn, pandas, Matplotlib, PyTorch, PostgreSQL, Relational database, MySQL, SQL, Oracle, Python, Problem solving, Analytical skills Additionally: Private healthcare, Sport subscription, International projects, Playroom, No dress code, In-house trainings, Modern office, Free coffee.

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