Machine Learning Engineer (Remote)

Protegrity, a global leader in data security, protects sensitive data everywhere and future-proofs businesses as data-privacy regulations evolve. Maintaining privacy today across distributed data has become impossibly complicated. With Protegrity, enterprises can secure data wherever it resides, control how it’s protected, and have confidence that data is safe, even if a breach occurs. The Protegrity Data Protection Platform is a modern alternative to traditionally complex data-protection methods that leave gaps in security. Deep integrations with Snowflake, AWS, Azure, Amazon Redshift, Teradata, Oracle, Microsoft SQL Server, Cloudera, Databricks, and many other enterprise applications ensure that data remains fully protected in hybrid-cloud, multi-cloud, and on-premises environments without performance penalties. The platform’s fine-grained data protection anonymizes Personally Identifiable Information (PII) that’s used in AI and Machine Learning models, providing faster access to critical analytics data and dramatically shortening the time to business insights.
Responsibilities: ·       Develop, integrate, and package new features into the product adhering to the best CI/CD practices (being and advocate for it in the organization).·       Participate and align with product road mapping to design and develop solutions.·        Help research and develop new solutions to advance the usability and privacy of synthetic tabular data.·       Perform code reviews.·       In the long-term, help research and develop new solutions in the fields of synthetic data and other privacy enhancing technologies (PET).
Required Skills: ·       MlOps.·       Python.·       Common data manipulation frameworks (Pandas, NumPy, etc.).·       Containerization technologies. Desired Skills: Curious, self-driven and oriented by critical thinking.Fond of collaboration and open communication.Responsible and pro-active in helping drive the success of Protegrity.Interest and experience with PET.#LI-Remote #Portugal #MachineLearning #ML
We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.