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- Aufgaben: Join our Data Science team to build and optimize machine learning algorithms for programmatic advertising.
- Arbeitgeber: Radancy is a leader in performance advertising, helping companies hire the best talent.
- Mitarbeitervorteile: Enjoy full health insurance, pension schemes, and opportunities for salary growth based on experience.
- Warum dieser Job: Make a real impact with cutting-edge technologies like NLP while collaborating with a talented team.
- Gewünschte Qualifikationen: 2+ years as a Machine Learning Engineer; strong Python skills and AWS experience required.
- Andere Informationen: Ideal for proactive problem-solvers who thrive in collaborative, innovative environments.
Radancy Programmatic is seeking a Machine Learning Engineer to join our dynamic Data Science team. In this role, you will play a critical part in building the infrastructure and algorithms that power our production programmatic advertising allocation system and collaborate closely with data scientists, product managers, and software engineers.
The Radancy Data Science team has expertise in optimization, regression, classification, and NLP principles to develop world class machine learning strategies for performance advertising that yield the most important results for our customers: hiring the best employees.
Role and Responsibilities
- Platform and Infrastructure development
• Manage and improve the machine learning serving platform, leveraging AWS. Work with the DevOps team to ensure scalability, security, and reliability of the infrastructure.
• Contribute to diverse projects, including bid optimization, budget allocation, natural language processing (NLP), and large language models (LLMs). - Project Deployment and Support
• Implement new algorithms and improve the quality of current production algorithms.
• Assist other data scientists in deploying new machine learning projects.
• Troubleshoot production issues. - Model Performance Optimization
• Hyperparameter optimization across systems of multiple algorithms.
• Implement long run solutions to mitigate model concept drift over months and years. - Development and Analysis
• Write efficient, maintainable code using the modern python data science stack.
• Integrate with and query databases, particularly PostgreSQL and Delta Lake.
Preferred Qualifications
- 2+ years as a Machine Learning Engineer or equivalent experience.
- Hands-on experience with AWS, docker and Kubernetes.
- Experience in debugging complex system issues.
- Strong Python programming skills, particularly for data intensive tasks.
- Knowledge of machine learning fundamentals and model optimization techniques.
- Understanding of NLP, language models, and their applications.
- Prior involvement in projects involving bid optimization or budget allocation.
- Understanding of CI/CD pipelines (bitbucket pipelines / github workflows), terraform is a plus.
- Experience working in AdTech is a plus.
Who You Are
- A proactive problem-solver with a passion for deploying and optimizing machine learning solutions.
- A collaborative team player who thrives in cross-functional settings.
- An individual with a strong foundation in MLOps, data science and software engineering principles.
Why Join Us?
- Work on impactful projects at the intersection of machine learning and real-world applications.
- Collaborate with a talented team in a supportive and innovative environment.
- Opportunity to grow and expand your expertise in cutting-edge technologies like NLP and LLMs.
If you’re ready to make a significant impact and take your career to the next level, we’d love to hear from you!
The gross minimum salary according to the Collective Agreement based on the Austrian law for this position is EUR 3.175,00. This includes full health insurance, occupational accident insurance, a public pension scheme, and public unemployment insurance. Depending on your professional qualifications and previous experience, your salary could be significantly higher.
Company:
Radancy
#J-18808-Ljbffr
Machine Learning Engineer Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with AWS and the specific tools mentioned in the job description, like Docker and Kubernetes. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your readiness to tackle the challenges of the role.
✨Tip Number 2
Brush up on your Python programming skills, especially for data-intensive tasks. Consider working on personal projects or contributing to open-source projects that involve machine learning to showcase your coding abilities and understanding of model optimization techniques.
✨Tip Number 3
Engage with the AdTech community through forums, webinars, or local meetups. Networking with professionals in the field can provide valuable insights into industry trends and may even lead to referrals or recommendations for the position.
✨Tip Number 4
Prepare to discuss your previous projects involving bid optimization or budget allocation during the interview. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your relevant experience and problem-solving skills.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Machine Learning Engineer position at Radancy. Understand the key responsibilities and preferred qualifications, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with AWS, Python programming, and any projects related to machine learning, especially those involving NLP or AdTech. Be specific about your contributions and the impact of your work.
Showcase Problem-Solving Skills: Since the role requires a proactive problem-solver, include examples in your application that demonstrate how you've tackled complex issues in previous roles, particularly in machine learning or data science contexts.
Tailor Your Cover Letter: Craft a personalized cover letter that reflects your enthusiasm for the position and the company. Mention why you are excited about working at Radancy and how your skills align with their mission to optimize programmatic advertising.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AWS, Docker, and Kubernetes. Highlight specific projects where you implemented machine learning algorithms or optimized models, especially in the context of AdTech.
✨Demonstrate Problem-Solving Abilities
Share examples of how you've tackled complex system issues in the past. Discuss your approach to debugging and optimizing machine learning solutions, as this role requires a proactive problem-solver.
✨Highlight Collaboration Experience
Since this position involves working closely with data scientists, product managers, and software engineers, emphasize your experience in cross-functional teams. Talk about how you contributed to team projects and supported others in deploying machine learning initiatives.
✨Understand the Business Impact
Be ready to discuss how your work in machine learning can drive results for hiring the best employees. Familiarize yourself with the principles of performance advertising and be prepared to explain how your skills can contribute to the company's goals.
