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Data-Driven Machine Learning Engineer
3 weeks ago
About the Role
As a machine learning engineer, you will contribute to the development and buildout of components for our customer's advertising platform. This platform brings sponsored content to millions of media-enabled devices worldwide.
You will have access to unique proprietary data to address existing product challenges and build end-to-end solutions with real-world impact.
In this role, you will work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies.
- Main Responsibilities:
Designing, building, and optimizing ML models and platform that supports the end-to-end ML lifecycle.
Democratizing access to ML capabilities, accelerating the pace of ML adoption, and fostering collaboration among stakeholders.
Developing high-quality ML models and platform to support thousands of model training pipelines concurrently and thousands of billions of daily batch predictions.
Researching the latest machine learning platform technologies and keeping up-to-date with industry trends and developments.
Experimenting with new ML platforms tailored to our environment and creating quick prototypes / proof-of-concepts.
Key Skills and Qualifications:
We are looking for individuals with expertise in machine learning, testing, MLOps, Python, SQL, Snowflake, data analysis, machine learning, big data, TensorFlow, PyTorch, PySpark, data structures, CI/CD pipelines, Git, AWS, Airflow, Redis, ETL, big data, Docker, Kubernetes, and GitHub.
Benefits:
Our company offers a range of benefits, including remote work, flexible working hours, competitive compensation, discounts, sport subscription, training budget, private healthcare, flat structure, international projects, employee referral bonus, employee discounts on HARMAN products (JBL), free coffee, bike parking, playroom, free snacks, free beverages, modern office, in-house trainings, startup atmosphere, and no dress code.
Others:
We are committed to providing opportunities for growth and development, and we offer a collaborative and dynamic work environment.