Remote Senior Machine Learning Engineer

Summary

Join the 4screen team as a Senior Machine Learning Engineer and play a key role in strengthening data-driven decision-making processes and advancing our AI strategy. You will analyze existing data, develop new machine learning models, and integrate them into production environments without relying on third-party APIs.

Requirements

• 5+ years of experience in Data Science, Machine Learning or a similar position
• Master's degree in a STEM field, or equivalent. A background in mathematical modeling or stochastic processes would be a Plus
• Senior-level practical experience in building and implementing complex machine learning models; experience with reinforcement or deep learning would be a Plus
• Strong knowledge of Python and common ML frameworks like TensorFlow or PyTorch
• Expertise in statistical methods and algorithms for data analysis
• Knowledge of DBT, ClickHouse (or equivalent), Spark, Dagster and Kubernetes is optional, but would be a big Plus

Responsibilities

• Developing and implementing machine learning models: You design and execute machine learning models tailored to enhance various business operations, ensuring they align with company objectives and drive efficiency
• Analyzing large datasets to identify patterns and trends: You will utilize advanced analytical techniques to sift through extensive datasets, uncovering insights that inform strategic decision-making and identify opportunities for improvement
• Collaborating to develop data-driven solutions: You will work closely with cross-functional teams to create innovative, data-driven solutions that address complex business challenges
• Conducting experiments to optimize models: You design and execute experiments to refine machine learning models, systematically testing hypotheses to enhance accuracy and performance
• Applying statistical analyses and algorithms: You will validate the results of your analyses by employing a range of statistical methods and algorithms
• Deploying models in production environments: You are responsible for deployment of machine learning models into production, prioritizing scalability and operational efficiency to ensure they function seamlessly within existing systems
• Promoting a data-driven culture within the company: You will advocate for and foster a culture that prioritizes data-driven decision-making, providing training and resources to empower colleagues to leverage data effectively in their roles

Benefits

• Have an impact on an international and collaborative team of talented people who love what they do
• Enjoy an open-minded culture with room for growth while working across teams and bringing in your own ideas
• Use modern tech (MacBook or Lenovo ThinkPad) and equipment in your daily work
• Relax with during your 30 days of annual leave (+ public holidays)
• Enjoy our Workation benefit, allowing you to visit your loved ones abroad or experience new places while staying connected
• Take care of your well-being with the support of our Egym Wellpass membership
• Get to work with our bike leasing through BusinessBike
• Enjoy our flexible working hours policy in our open office in Munich’s vibrant Schwabing district, meet up with colleagues in our co-working spaces in Berlin or Paris or use our work-from-home policy