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- Aufgaben: Lead ML projects, design products, mentor teams, and analyze data.
- Arbeitgeber: Join a dynamic ML team in Switzerland focused on innovative solutions.
- Mitarbeitervorteile: Work with cutting-edge tech, enjoy mentorship opportunities, and collaborate with diverse teams.
- Warum dieser Job: Make a real impact with your ideas while growing in a supportive environment.
- Gewünschte Qualifikationen: MSc or Ph.D. in a quantitative field with proven ML project experience.
- Andere Informationen: Experience with Python, TensorFlow, and cloud platforms is a plus.
Das voraussichtliche Gehalt liegt zwischen 72000 - 108000 € pro Jahr.
Senior Machine Learning Engineer – SwitzerlandAre you ready to take your ML career to the next level? We’re on the hunt for a Senior Machine Learning Engineer to join our dynamic ML team! You’ll tackle a variety of exciting challenges where ML is the secret sauce. In this role, you’ll be the driving force behind the team’s success, bringing innovative ideas to life and delivering impactful solutions.What You’ll DoAs a Senior ML Engineer, you’ll:Lead projects from concept to execution, collaborating with clients, teams, and stakeholders.Design and develop end-to-end ML products that solve real-world problems.Mentor and inspire your team, fostering success and growth.Analyze complex problems, devise creative solutions, and execute with precision.Dive deep into data, transforming it into actionable insights with ML techniques.Explain technical concepts to both technical and non-technical audiences, from team members to clients and investors.Key ResponsibilitiesEmpower the team to achieve outstanding results.Identify and seize opportunities for new business and innovative products.Champion cutting-edge applied ML practices.Build pipelines, preprocess data, and engineer features.Develop and validate ML models.Design scalable infrastructure and ensure smooth delivery.Our StackLanguages: Python, RLibraries: Scikit-learn, PyTorch, TensorFlow/KerasCloud: GCP, AWS, AzureTech: Apache Spark, relational databases, CI/CD, KubernetesWhat We’re Looking ForMSc or Ph.D. in a quantitative field.Proven experience leading ML projects from start to finish.Strong grasp of ML algorithms and frameworks.Excellent communication skills (in-person, blog posts, events).Passion for writing clean, maintainable code and sharing your knowledge.Bonus PointsLeadership in fast-growing organizations.Product experience from ideation to monetization.Expertise in deep learning, data pipelines, and DevOps.If you are interested in this role, feel free to apply to this job AD with your most up to date CV or if you have any questions, feel free to contact #J-18808-Ljbffr
Senior ML Engineer - Switzerland Arbeitgeber: DeepRec.ai
Kontaktperson:
DeepRec.ai HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior ML Engineer - Switzerland
✨Tip Number 1
Make sure to showcase your leadership experience in ML projects. Highlight specific instances where you led a project from concept to execution, as this is a key requirement for the role.
✨Tip Number 2
Familiarize yourself with our tech stack, especially Python and libraries like Scikit-learn, PyTorch, and TensorFlow/Keras. Being able to discuss your hands-on experience with these tools will set you apart.
✨Tip Number 3
Prepare to explain complex ML concepts in simple terms. Since you'll be communicating with both technical and non-technical audiences, practice how you would break down intricate ideas into digestible pieces.
✨Tip Number 4
Show your passion for innovation by discussing any unique ML solutions you've developed. Whether it's a new product or an improvement on existing processes, demonstrating your creativity can make a strong impression.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior ML Engineer - Switzerland
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading ML projects and your proficiency with the required technologies like Python, Scikit-learn, and TensorFlow. Emphasize any relevant academic qualifications, such as an MSc or Ph.D. in a quantitative field.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and your ability to mentor and inspire teams. Mention specific projects where you have successfully implemented ML solutions and how they made an impact.
Showcase Communication Skills: Since excellent communication skills are crucial for this role, consider including examples of how you've explained complex technical concepts to non-technical audiences. This could be through presentations, blog posts, or workshops.
Highlight Leadership Experience: If you have experience leading teams or projects, make sure to highlight this in your application. Discuss how you empowered your team to achieve outstanding results and any innovative products you helped develop.
Wie du dich auf ein Vorstellungsgespräch bei DeepRec.ai vorbereitest
✨Showcase Your Project Leadership
Be prepared to discuss specific ML projects you've led from concept to execution. Highlight your role in collaborating with clients and stakeholders, and how you drove the project to success.
✨Demonstrate Technical Proficiency
Familiarize yourself with the technologies mentioned in the job description, such as Python, Scikit-learn, and TensorFlow. Be ready to explain how you've used these tools in past projects and how they can be applied to solve real-world problems.
✨Communicate Effectively
Practice explaining complex ML concepts in simple terms. You may need to convey technical details to non-technical audiences, so being clear and concise is key.
✨Emphasize Mentorship and Teamwork
Share examples of how you've mentored team members or fostered a collaborative environment. This role requires inspiring others, so demonstrating your leadership skills will be crucial.
