Machine Learning Engineer

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 

1. 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). 

2. 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 

3. Model Performance Optimization 

• Hyperparameter optimization across systems of multiple algorithms.
• Implement long run solutions to mitigate model concept drift over months and years.  

4. 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.