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- Aufgaben: Join us to build and deploy cutting-edge ML solutions in NLP and GenAI.
- Arbeitgeber: Be part of a global leader in Data & AI, driving innovation in language technologies.
- Mitarbeitervorteile: Enjoy upskilling opportunities, social events, and autonomy in your work.
- Warum dieser Job: Make a significant impact while collaborating with experts in a dynamic environment.
- Gewünschte Qualifikationen: 5+ years in ML/NLP, proficient in Python, CI/CD, and cloud platforms.
- Andere Informationen: Location: Vienna; requires valid working visa and proficiency in English & German.
Das voraussichtliche Gehalt liegt zwischen 28000 - 42000 € pro Jahr.
Interested in a role working with cutting-edge LLM/GenAI technology, supporting customers in finding solutions to business problems?
Want to be part of a highly specialized team of experts in language and speech processing, gaining expertise and continuously learning?
Excited to join our Centre of Excellence and become part of a spearhead within Data & AI?
Practical Information:
Location: Vienna, Austria | Reports to Head of Language Technologies | Visa Requirements: Valid working Visa for Austria | Language Requirements: English & German , full proficiency, written and spoken.
As our new Senior Machine Learning Engineer NLP, you will build and deploy machine learning solutions into production on cloud platforms . This is a fantastic opportunity to join a global company that leverages cutting-edge technologies to deliver innovative, state-of-the-art solutions. You will make a significant impact by delivering projects both regionally and internationally.
Other responsibilities will include:
- Designing and developing ML solutions/systems with focus on Language Technologies (Natural Language Processing, Speech Processing, Generative AI (Gen AI)) based on customer requirements
- Building, maintaining and improving our ML solutions following best practices in programming, modelling, automation and Continuous Integration / Continuous Deployment (CI/CD)
- Establishing tech stacks which we can replicate across internal and external projects – with focus on the fast-developing LLM area
- Collaborating in interdisciplinary teams, where you assist our Data Science and Engineering colleagues with their ML deployment
- Deploying ML solutions that meet our internal standards for security, availability, performance, maintainability, and best practices for cloud environments
Your Competencies:
- 5+ years’ experience as Machine Learning Engineer or Data Scientist in the field of NLP, working with language models or LLMs
- Understanding of data structures, data modeling, ML algorithms and software architecture
- Proficient in Python and ML frameworks/libraries
- Experienced with CI/CD systems (e.g., Jenkins, Azure DevOps) and solid understanding of Git, Linux, Containers, and Kubernetes
- Familiar with managed ML environments such as Azure ML, Amazon Sagemaker, or MLFlow
About You:
- Effective communication skills, excelling in customer facing situations and demonstrating a solution-oriented mindset
- Independent and proactive with solid organizational skills
- Ability to work in a cross-functional team and collaborate with Data Scientists, Data Engineers, and Software Engineers
What’s on offer?
- Upskilling and cross-selling through certifications & Training
- Social and Team Events
- Cross-collaborations with regional teams
- Independence and autonomy in your work
Apply to join an award-winning employer!
Minimum salary for Austria, which is according to our collective bargaining agreement trade, €2.343 gross salary per month. However, we will offer you a competitive compensation package aligned with your skills and experience.
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Senior Machine Learning Engineer - NLP Arbeitgeber: Crayon Group
Kontaktperson:
Crayon Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Machine Learning Engineer - NLP
✨Tip Number 1
Familiarize yourself with the latest advancements in NLP and LLM technologies. Being well-versed in current trends will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the community by participating in relevant forums, webinars, or meetups focused on machine learning and NLP. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your practical experience with CI/CD systems and cloud platforms in your discussions. Highlighting specific projects where you've successfully deployed ML solutions will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your collaborative experiences in cross-functional teams. Emphasizing your ability to work effectively with Data Scientists and Engineers will align with our team's focus on interdisciplinary collaboration.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Machine Learning Engineer - NLP
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning, particularly in NLP and LLMs. Include specific projects or technologies you've worked with that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for language technologies and your problem-solving skills. Mention how your background makes you a great fit for the role and the company.
Showcase Relevant Skills: In your application, emphasize your proficiency in Python, ML frameworks, and CI/CD systems. Provide examples of how you've used these skills in past projects to solve business problems.
Highlight Collaboration Experience: Since the role involves working in interdisciplinary teams, mention any relevant experiences where you've collaborated with Data Scientists, Engineers, or other stakeholders to deliver successful ML solutions.
Wie du dich auf ein Vorstellungsgespräch bei Crayon Group vorbereitest
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with Natural Language Processing and language models. Highlight specific projects where you've successfully implemented ML solutions, especially those involving LLMs or Generative AI.
✨Demonstrate Technical Proficiency
Make sure to showcase your skills in Python and relevant ML frameworks. Be ready to answer technical questions about CI/CD systems, Git, and cloud platforms like Azure or AWS, as these are crucial for the role.
✨Emphasize Collaboration Skills
Since the role involves working in interdisciplinary teams, share examples of how you've effectively collaborated with Data Scientists, Engineers, and other stakeholders. Highlight your communication skills and solution-oriented mindset.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios or case studies during the interview. Practice articulating your thought process in solving business problems using ML solutions, focusing on customer needs and best practices.
