ID 3630 – MLOps Engineer

Job Location: Buenos Aires

The ML Engineering team at the company is responsible for architecting the productionalized solution around rules-based and AI/ML models to integrate predictions seamlessly into the business processes, ensuring governance, resiliency, explainability, reproducibility, and scalability of the models. We are looking for a highly capable ML Platform Engineer to optimize rules-based and machine learning systems. As an engineer for the ML platform you will be working at the intersection of machine learning, DevOps, and data engineering (i.e. MLOps).

● Lead and consult with business stakeholders and data science teams to define data engineering and MLOps requirements.
● Transforming business and data science prototypes and applying appropriate algorithms and tools.
● Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
● Developing reusable data and feature stores for rules-based and AI/ML models.
● Developing alerting tool frameworks for monitoring productionized model performance and effectiveness.
● Automate deployments incorporating MLOps best practices into productionalized solutions.
● Document frameworks and machine-learning processes.
● Build simple front-end reporting solution for shipboard engineers to consume the insights. (web app development)

Required skills:
● Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
● Well-developed software engineering fundamentals, including use of proper development, QA, and production environments, and the ability to write production-level code when needed.
● Experience creating a Python package.
● Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark)
● Proficiency in Databricks & MLFlow.
● Proficiency in SQL.
● Good communication skills and the ability to understand and synthesize requirements across multiple project domains.
● Works effectively with cross-functional teams.

Desired skills:    
● Python or Javascript web app development experience.
● Experience in a large corporation or consulting firm.
● Experience with IoT and/or sensor data.

● OSDE 210 family health plan.
● Birthday day off.
● Continuous training through content platforms.
And more!

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