This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create, assess, and implement machine learning models focused on brand safety, sponsor detection, topic classification, and video analysis.

• Develop comprehensive customer 360 records and systems for entity resolution.

• Manage models from the experimentation phase through to production monitoring.

• Construct and sustain data pipelines and feature workflows utilizing SQL and NoSQL data at scale.

• Collaborate with engineering, product, and business teams to transform ambiguous inquiries into quantifiable models and clear analyses.

• Mentor and elevate the skills of fellow engineers.

• Utilize AI coding tools on a daily basis.

• Produce clean, reliable, and reproducible production code.

• Report directly to the Director of Engineering.

⛳️ Requirements

• Over 5 years of experience in Data Science or Machine Learning Engineering.

• Strong proficiency in SQL and Python.

• Practical experience with NoSQL databases and platforms such as Databricks or Snowflake.

• Proven history of taking machine learning models from prototype to production and managing their performance post-launch.

• Experience in creating evaluation datasets, defining both offline and online metrics, conducting A/B tests and shadow runs, along with monitoring models in production.

• Exceptional data analysis abilities, ranging from exploratory analysis to thorough evaluation.

• Capacity to communicate effectively with both technical and non-technical stakeholders.

• Additional experience in content classification or video understanding, LLM-based systems and evaluation, entity resolution or identity matching, fraud or anomaly detection, recommendation or ranking systems, MLOps tooling, JavaScript/TypeScript, or within consumer-scale companies is a plus.