Required Machine Learning Engineer
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.
Who You Are:
A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.
Who You Are:
A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.
Requirements:
3+ years experience as a Machine Learning Engineer.
5+ years of experience with Python/Java/Scala.
Strong understanding of distributed systems, object-oriented programming and design patterns.
Distributed Compute frameworks such as Spark, Dask, Ray etc
Hands-on experience designing, training, and deploying machine-learning models
MLOps
Hands-on experience with open source ML libraries like: catboost, lightgbm, xgboost, scikit-learn, NumPy, Pandas, Microservices architecture, cloud technologies, Docker/K8s.
Ability to design and own a feature through all its phases.
Bonus:
BSc./MSc. In CS or similar – an advantage
Building data pipelines using Apache Airflow
Hands on experience with Spark, SparkSQL, Spark streaming and other Spark related projects.
3+ years experience as a Machine Learning Engineer.
5+ years of experience with Python/Java/Scala.
Strong understanding of distributed systems, object-oriented programming and design patterns.
Distributed Compute frameworks such as Spark, Dask, Ray etc
Hands-on experience designing, training, and deploying machine-learning models
MLOps
Hands-on experience with open source ML libraries like: catboost, lightgbm, xgboost, scikit-learn, NumPy, Pandas, Microservices architecture, cloud technologies, Docker/K8s.
Ability to design and own a feature through all its phases.
Bonus:
BSc./MSc. In CS or similar – an advantage
Building data pipelines using Apache Airflow
Hands on experience with Spark, SparkSQL, Spark streaming and other Spark related projects.
This position is open to all candidates.
