Machine Learning Engineer (m/f/d)

August 29

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Kayzen

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Kayzen powers the world's​ best mobile marketing teams to take programmatic in-house.

51 - 200

💰 $4M Seed Round on 2020-01

Description

• Key member of the Machine Learning Engineering team, bridging the gap between data science and ad systems engineering. • Tackle the challenge of creating innovative solutions for petabyte-scale data models. • Develop libraries and infrastructure to accelerate experimentation and deploying hundreds of models. • Research cutting-edge technologies.

Requirements

• 5+ years of proven professional experience in deploying big data-based models from conceptualization to deployment, ensuring sustained performance in production. • Proven experience with Machine Learning techniques (Neural Networks, Random Forest, etc.) and ML frameworks (Catboost, Mlflow, PyTorch, Tensorflow, etc.). • Fluency in relevant programming languages (Python, Java, etc.). • Strong proficiency in SQL & NoSQL and big data processing pipelines (we use Python, Spark, Airflow). • Bachelor's/Master's degree in Mathematics, Physics, Computer Science, Machine Learning Engineering or a related field. • A genuine passion for working with data and uncovering insights. • Strong analytical and problem-solving skills to tackle complex challenges. • Ability to translate business requirements into solutions. • Excellent stakeholder management and communication skills.

Benefits

• Exceptional career growth and learning opportunity • A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market • Direct, day-to-day work experience with the management • A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries • A flexible work-from-home arrangement • A 500-dollar home-office setup budget • A 1000-dollar annual learning and development budget