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- Aufgaben: Design and deploy cutting-edge AI models while collaborating with diverse teams.
- Arbeitgeber: Join a forward-thinking company at the forefront of AI innovation.
- Mitarbeitervorteile: Enjoy flexible work options, mentorship opportunities, and a dynamic work culture.
- Warum dieser Job: Be part of a team that tackles complex problems and drives impactful AI solutions.
- Gewünschte Qualifikationen: Master's degree in a related field and extensive experience in AI and software engineering required.
- Andere Informationen: Stay ahead in the fast-paced AI landscape and contribute to groundbreaking projects.
Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € pro Jahr.
Your responsibilities:
- Design, develop, and deploy scalable AI and machine learning models for internal and customer use cases
- Collaborate with cross-functional teams to integrate AI solutions into existing products.
- Collaborate with cross-functional teams to manage AI models within existing products and various application environments
- Train and fine-tune AI models, focusing on achieving superior performance and precision
- Deploy on local GPU hardware, including profiling and optimization to ensure efficient execution of AI models
- Develop data processing pipelines and prepare data for NLP training
- Enhance model performance by integrating external knowledge sources during the generation process
- Deploy AI models in production environments and ensure they are running efficiently
- Monitor and maintain AI systems to ensure they meet performance and reliability standards
- Implement logging, monitoring, and alerting systems for AI solutions
- Collaborate with software engineers, data scientists, and other stakeholders to deliver high-quality AI solutions
- Provide technical guidance and mentorship to junior AI engineers and data scientists
- Contribute to code reviews, design discussions, and technical documentation
- Work with large datasets to train and validate AI models
- Implement data preprocessing and augmentation techniques to enhance model performance
- Ensure data integrity and security throughout the AI development lifecycle
- Stay updated with the latest advancements in AI and machine learning technologies and conduct research to explore new techniques and methodologies
- Propose and implement innovative AI solutions to solve complex problems
Your capabilities:
- You hold a master’s degree in Computer Science, Engineering, or a closely related field
- You have at least 10 years of experience in Software Engineering and at least 3 years of hands-on experience in designing, developing, and delivering enterprise-grade AI solutions in complex software systems
- You possess strong programming skills in Python, R, or other relevant languages
- You are proficient with data analysis and machine learning libraries (e.g., Scikit-learn, Pandas, NumPy)
- You have experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes)
- You demonstrate a robust foundation in technical knowledge and problem-solving capabilities
- You are experienced in working with AI inference frameworks
- You have a deep understanding of NLP principles and techniques, with a solid understanding of Transformer architectures, emphasizing Large Language Models (LLMs), Generative AI, and proficiency in convolutional neural networks
- You are proficient in leveraging retrieval-augmented techniques for generative tasks
- You have the passion and ability to work in a fast-paced, dynamic environment
- You possess strong organizational and project management skills
- You come with an open, proactive, and innovative mindset
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(Senior) Machine Learning Engineer Arbeitgeber: ATOSS Software AG
Kontaktperson:
ATOSS Software AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: (Senior) Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with AI and machine learning models in your conversations. Highlight specific projects where you designed, developed, or deployed scalable solutions, as this will resonate well with our team.
✨Tip Number 2
Familiarize yourself with the latest advancements in AI technologies, especially in NLP and Large Language Models. Being able to discuss recent trends or breakthroughs can demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms and containerization tools. We value candidates who can effectively integrate AI solutions into existing products, so examples of your work in these areas will be beneficial.
✨Tip Number 4
Be ready to share how you've collaborated with cross-functional teams in the past. Emphasizing your ability to work alongside software engineers and data scientists will show that you're a team player who can contribute to our collaborative environment.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Senior) Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning. Focus on your programming skills, particularly in Python or R, and emphasize your hands-on experience with enterprise-grade AI solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Mention specific projects where you designed and deployed AI models, and how you collaborated with cross-functional teams to achieve superior performance.
Showcase Technical Skills: Clearly outline your technical skills related to data analysis, machine learning libraries, and cloud platforms. Provide examples of how you've used these skills in previous roles, especially in relation to NLP and large language models.
Highlight Continuous Learning: Demonstrate your commitment to staying updated with the latest advancements in AI and machine learning. Mention any recent courses, certifications, or research you’ve conducted that showcases your proactive approach to learning.
Wie du dich auf ein Vorstellungsgespräch bei ATOSS Software AG vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI and machine learning models in detail. Highlight specific projects where you designed, developed, or deployed scalable solutions, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Collaboration Skills
Since collaboration with cross-functional teams is key, share examples of how you've worked with software engineers, data scientists, or other stakeholders. Emphasize your ability to integrate AI solutions into existing products and how you managed those collaborations effectively.
✨Discuss Your Problem-Solving Approach
Prepare to talk about complex problems you've solved using AI technologies. Discuss your thought process, the methodologies you employed, and the innovative solutions you proposed. This will showcase your analytical skills and creativity.
✨Stay Updated on AI Trends
Make sure to mention any recent advancements in AI and machine learning that excite you. Discuss how you keep yourself updated with the latest technologies and how you plan to implement new techniques in your work. This shows your passion for the field and commitment to continuous learning.
