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Data Scientist / ML Engineer Job Opening In Gdańsk – Now Hiring Axos Group


Job description

Rola ta łączy zaawansowaną analizę danych z praktycznym wdrażaniem modeli AI w środowisku produkcyjnym.

Pozwala to wykorzystywać rzeczywiste dane z linii technologicznych i laboratoriów, przekładając rozwiązania analityczne na mierzalne efekty biznesowe.

To doskonała okazja do rozwoju w obszarze ML/DL i MLOps w ramach nowoczesnej infrastruktury danych oraz współpracy w międzynarodowym środowisku.

Wynagrodzenie:
17 000 – 19 000 PLN brutto (UoP)
19 000 - 21 000 PLN + VAT (B2B)

Wymagania:


  • Wykształcenie wyższe (preferowane kierunki: informatyka, matematyka stosowana, data science).

  • Zaawansowana znajomość języka angielskiego, umożliwiająca pracę w międzynarodowym środowisku.

  • Doświadczenie w pracy z danymi procesowymi lub przemysłowymi — analiza jakości, monitorowanie parametrów, predykcja trendów.

  • Biegłość w stosowaniu metod analizy szeregów czasowych oraz modelowaniu statystycznym.

  • Praktyczne doświadczenie w projektowaniu i wdrażaniu modeli ML/DL (regresja, klasyfikacja, sieci neuronowe, modele predykcyjne).

  • Znajomość procesów eksploracji danych oraz technik redukcji i selekcji cech.

  • Umiejętność doboru parametrów, walidacji modeli i oceny ich skuteczności przy użyciu odpowiednich metryk.

  • Znajomość zasad MLOps i utrzymania modeli w środowiskach produkcyjnych.

  • Dostępność do pracy w formie hybrydowej.

Do Twoich zadań będzie należało:


  • Projektowanie, trenowanie i wdrażanie modeli uczenia maszynowego oraz głębokiego uczenia opartych na danych procesowych.

  • Analiza i modelowanie złożonych zjawisk produkcyjnych z wykorzystaniem metod statystycznych i algorytmów AI.

  • Opracowywanie strategii doboru i strojenia modeli predykcyjnych w oparciu o dane przemysłowe (np.

    sensoryczne, czasowe, laboratoryjne).

  • Budowa narzędzi wspierających cyfrowe odwzorowanie procesów oraz symulacje procesów w środowiskach chmurowych.

  • Tworzenie i utrzymywanie infrastruktury danych, w tym repozytoriów modeli.

  • Udział w automatyzacji cyklu życia modeli: trenowanie, retrenowanie, testy, wdrożenia i monitoring.

  • Analiza jakości danych, przygotowywanie zestawów danych i pipeline’ów przetwarzania w środowisku chmurowym.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Gdańsk, Poland, highlighting market share and opportunities for professionals in Data Scientist roles.

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Are You Looking for Data Scientist / ML Engineer Job?

Great news! is currently hiring and seeking a Data Scientist / ML Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Axos Group adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Poland laws and regulations

What Is the Average Salary Range for Data Scientist / ML Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Gdańsk. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist / ML Engineer?

Key qualifications for Data Scientist / ML Engineer typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist / ML Engineer Job Success

Axos Group interview tips for Data Scientist / ML Engineer

Here are some tips to help you prepare for and ace your Data Scientist / ML Engineer job interview:

Before the Interview:

Research: Learn about the Axos Group's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist / ML Engineer interview at Axos Group, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Axos Group's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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