We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions. Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions. Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.
Requirements:
Must have:
B.Sc. / M.Sc. in Computer Science.
0-2 years of experience in software development preferably as an ML engineer, big data developer or backend developer.
At least 1 year of experience developing in python including academic experience such as a final project, advanced courses, student positions etc.
Outstanding achievements in fundamental computer science courses Data Structures, Algorithms, Systems Programming, Object Oriented Programming.
Fast learner.
Significant Advantages:
Experience working with a cloud technology stack (e.g., AWS, Azure).
Academic background or professional experience in big data development (e.g., databases, distributed systems).
Significant project in machine learning or big data development.
Academic background in Machine Learning or related topics.
Experience with Spark or SQL.
Advantages:
High GPA (90+).
Experience working with git.
Must have:
B.Sc. / M.Sc. in Computer Science.
0-2 years of experience in software development preferably as an ML engineer, big data developer or backend developer.
At least 1 year of experience developing in python including academic experience such as a final project, advanced courses, student positions etc.
Outstanding achievements in fundamental computer science courses Data Structures, Algorithms, Systems Programming, Object Oriented Programming.
Fast learner.
Significant Advantages:
Experience working with a cloud technology stack (e.g., AWS, Azure).
Academic background or professional experience in big data development (e.g., databases, distributed systems).
Significant project in machine learning or big data development.
Academic background in Machine Learning or related topics.
Experience with Spark or SQL.
Advantages:
High GPA (90+).
Experience working with git.
This position is open to all candidates.
