Machine learning engineer

We are hiring someone who will help build Shapes MLOps platform along with other MLEs. This platform is a strategic asset for the company, as we currently have close to a thousand models running in production - a figure that is growing fast. Our platform is built in Python, which means that having experience with this language is a must.

A strong candidate will have a solid software engineering foundation (clean code, git, CI/CD, automated testing, code modularization, python package construction) above all else. Prior work experience with Machine Learning is not a strict requirement, though we will expect that the candidate is interested in the area and motivated to learn fast.

Responsibilities

Help deliver models using advanced ML techniques to customers of multiple industries and at scale.
Support the automation of the Machine Learning lifecycle, including training, testing, monitoring, and deployment.
Research and implement new tools to improve model management and the overall productivity of the Data Science team.
Design and develop innovative Machine Learning systems that power our data products.

Requirements

Has a strong software engineering background, knowledge of the best coding practices, and experience delivering code for products.
Is proficient with the Python language.
Has some knowledge of Machine Learning, and its relevant tools and frameworks (e.g., scikit-learn, Tensorflow, MLflow), even if outside the professional environment: courses, side projects, and self-study all count. We are looking for people who are excited about the topic even if still inexperienced.
Learns fast and can work in a lean, autonomous, high-performance team. Writes code to solve problems targeting the product evolution, and not only the current state of the business. We expect people to be results-oriented, not task- oriented.
Fosters an open and highly collaborative work environment.

Differential

Experience in contributing to open-source software or working in code projects developed in collaboration with others.
Hands-on experience building, deploying, and scaling the use of Machine Learning models to drive business impact. Both predictive and recommendation models are very relevant to what we do.
Experience with models deployment to production environments and related tools (e.g., Docker, Kubeflow).
Experience with big data tools (e.g., Apache Spark, Apache Kafka) and/or ETL pipelines development.
Experience working in multidisciplinary agile product teams with flat hierarchical structures.

Benefits

An insurance plan that covers health and dental care (so that you can take care of yourself!)
Vouchers for meals and food (so you can eat well!)
Flexible schedule (for you to work at the best time!)
In-office massage and manicure (so you can relax and stay beautiful!
Mentorship program (so you can become more talented!)
Gympass (for you to get in Shape!)
Snacks at the office!
An inclusive environment!

The benefits provided with this position are not deducted from your paycheck!

Machine learning engineer

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