[Hiring] Data Scientist / Machine Learning Engineer @In All Media Inc

Role Description

The project centers on building, scaling, and maintaining end-to-end production machine learning pipelines and infrastructure in a cloud-native setting. The primary goal is to empower data-driven decision-making across the enterprise by delivering robust, scalable ML solutions. In this role, you will bridge model experimentation with production deployment, helping the team advance its core predictive algorithms while expanding into modern AI and LLM-driven capabilities.

Key Responsibilities

• Develop, deploy, and maintain production-grade Machine Learning (ML) models in cloud environments beyond local notebook development.
• Perform Exploratory Data Analysis (EDA) and design feature engineering pipelines to support production ML workflows.
• Build, maintain, and optimize data pipelines that feed and sustain ML models in production.
• Monitor model performance, health, and drift post-deployment to ensure continuous reliability in production.
• Partner with software engineering, data, and business stakeholders to translate business goals into scalable ML solutions.
• Contribute to Artificial Intelligence (AI) and Large Language Model (LLM) based capabilities where applicable.

Qualifications

• 2+ years of professional experience building, deploying, monitoring, and maintaining production ML models in real-world environments.
• Strong Python programming skills along with advanced SQL capabilities.
• Experience utilizing AWS SageMaker or equivalent enterprise ML platforms (such as Google Vertex AI or Azure ML) to support production pipelines.
• Proficient with Git for version control and a demonstrated ability to work independently within production settings.

Nice-to-Have Skills

• Familiarity with MLOps and orchestration tools such as MLflow, Apache Airflow, or dbt (Data Build Tool).
• Hands-on experience working with Snowflake.
• Prior background in marketing, growth, experimentation, or causal inference.
• Practical experience working with LLMs (Large Language Models) or autonomous AI agents.
• Experience operating within Agile development environments.

Time Zone & Collaboration

The role requires alignment with US Time Zones. Candidates must be available during standard US business hours to ensure real-time collaboration with cross-functional engineering, data, and business partners.

Language

All interviews, documentation, and daily communication will be conducted exclusively in English.

Note

This contract is managed through In All Media. We provide the platform and infrastructure for LATAM's top talent to work with global leaders.