At a Glance
- Tasks: Join us as a Data Science/Machine Learning Developer, tackling exciting projects and developing innovative solutions.
- Company: JOB WORLD GmbH connects job seekers with top companies in Austria, offering great opportunities.
- Benefits: Enjoy a competitive salary starting at €4,000/month and flexible home-office options after training.
- Why this job: Be part of a renowned company, work on cutting-edge technology, and make a real impact.
- Qualifications: Ideal candidates have a background in IT, Data Science, or related fields, with strong programming skills.
- Other info: Apply now to join a dynamic team and unlock amazing career growth opportunities!
JOB WORLD GmbH ist ein Partner der Unternehmen in Österreich. Wir bieten engagierten Arbeitsuchenden einen Top-Zugang zu interessanten Jobs. Für den Einsatz bei einem Kunden, ein renommiertes Unternehmen, suchen wir zur FIXANSTELLUNG eine/n Data Science bzw. Machine Learning Developer m/w/d (Home-office-Möglichkeit) für Linz, Wels, Salzburg, Wien, Graz.
Aufgaben:
- Technische Beratung bei der Bewertung zukünftiger Business Cases
- Abstimmung und Koordination von Datenanalyse Projekten
- Konzeptionierung und Softwareentwicklung von Lösungen in den Bereichen Machine Learning
- Entwicklung von selbstlernenden Mechanismen zur Steuerung unserer Mechatroniksysteme
- Durchführung von statistischen Datenanalysen sowie Modellentwicklungen
- Analyse und Erfassung von Mustern und Verhalten unserer mechatronischen Systeme (Fehler, Leistung, Technik etc.)
Qualifikationen:
- Abgeschlossene Ausbildung als Informatiker, Mathematiker, Data Science Engineer, Developer, Elektrotechniker, Mechatroniker, Automatisierer mit IT-Affinität o.ä.
- Kenntnisse im Bereich Data Science, Machine Learning, Statistik & technisches Know-How in der Elektrotechnik, Automatisierung sowie Erfahrung mit State-of-the-Art Open Source KI Frameworks wie TensorFlow, KERAS, SciPy for ML/DL
- Erfahrung mit hardwarenahen Plattformen, Steuerungen, Mechatronik wie z.B. Embedded Systeme und hohe Affinität für mechatronische Systeme
- Fundiertes Wissen in der Entwicklung von Algorithmen und komplexen CNN Convolutional Neural Networks Modellen
- Ausgeprägtes Know-How in Python, C++, C#, Java, SQL o.ä.
Wir bieten:
- FIXANSTELLUNG in einem sehr renommierten Unternehmen
- Sehr gute Bezahlung ab € 4.000,-- brutto pro Monat (Bei Eignung und Erfahrung höhere Bezahlung möglich)
- Teilweise Home-Office-Möglichkeit nach Einarbeitung und Absprache
- Viele weitere tolle Benefits warten auf Sie
Senden Sie bitte Ihre aussagekräftigen Bewerbungsunterlagen per E-Mail an: Job-World GmbH, Wasserturmstraße 5, 4614 Marchtrenk, Werner Schrangl, Telefon: 0664/53 90 705, E-Mail: jobs@job-world.at
Data Science bzw. Machine Learning Developer m/w/d (Home-office-Möglichkeit) employer: Job World KG
Contact Detail:
Job World KG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science bzw. Machine Learning Developer m/w/d (Home-office-Möglichkeit)
✨Tip Number 1
Familiarise yourself with the latest trends in Data Science and Machine Learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Build a portfolio showcasing your projects related to Machine Learning and Data Science. Include examples of algorithms you've developed, data analyses you've conducted, and any contributions to open-source projects. A strong portfolio can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field by attending meetups, webinars, or conferences focused on Data Science and Machine Learning. Engaging with others can lead to valuable connections and potential job opportunities, so don’t hesitate to reach out.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm problems relevant to the role. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Data Science bzw. Machine Learning Developer m/w/d (Home-office-Möglichkeit)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Science or Machine Learning Developer position. Tailor your application to highlight relevant experiences and skills.
Craft a Strong CV: Your CV should clearly showcase your technical skills in Data Science, Machine Learning, and programming languages like Python, C++, and Java. Include specific projects or experiences that demonstrate your expertise in these areas.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the job requirements and provide examples of your previous work in data analysis or machine learning projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Job World KG
✨Showcase Your Technical Skills
Make sure to highlight your experience with Data Science and Machine Learning frameworks like TensorFlow and KERAS. Be prepared to discuss specific projects where you've applied these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Since the role involves technical consulting for future business cases, it's crucial to understand how data analysis can drive business decisions. Research the company’s industry and think about how your skills can contribute to their goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to mechatronic systems. Be ready to explain your thought process when developing algorithms or conducting statistical analyses.
✨Demonstrate Your Passion for Mechatronics
Given the focus on mechatronic systems, express your enthusiasm for this field. Share any relevant experiences or projects that showcase your affinity for mechatronics and how it relates to your work in data science.