End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines

Medium; Puerto Rico; On-site; USD 100,000 - 130,000; Full time

Job summary

Medium is seeking a skilled Data/ML Engineer to join their BI team. Applicants must have over 8 years of experience in data engineering, with a focus on MLOps. The role involves designing end-to-end data pipelines and working with AI-driven BI applications.

The ideal candidate will possess strong skills in Python, SQL, and cloud platforms like AWS or Azure, along with hands-on experience in big data technologies.

Note: Only applicants from LATAM will be accepted.

Qualifications

• 8+ years of experience as a Data Engineer with 2+ years focused on MLOps.
• Excellent English communication skills.
• Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka.
• Experience designing complex data pipelines extracting data from various sources.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize workflows for data extraction and storage.
• Architect and implement analytics and dashboarding solutions.
• Define and execute processes for managing prompt engineering techniques.

Skills

Python

Data Engineering

MLOps

SQL

Apache Spark

Kafka

Cloud Platforms

Agile Methodologies

Tools

AWS

Azure Machine Learning

Snowflake

Redshift

Job description

Medium is seeking a skilled Data/ML Engineer to join their BI team. Applicants must have over 8 years of experience in data engineering, with a focus on MLOps. The role involves designing end-to-end data pipelines and working with AI-driven BI applications.

The ideal candidate will possess strong skills in Python, SQL, and cloud platforms like AWS or Azure, along with hands-on experience in big data technologies.

Note: Only applicants from LATAM will be accepted.