Remote ML Engineer — Production Data Pipelines

Computer Task; Northern (KY); Hybrid; USD 110,000 - 145,000; Full time

Job summary

CTG is seeking a Machine Learning Engineer to join our client projects. This remote, 12-month role focuses on building and maintaining production-grade data pipelines, modeling data across sources, and deploying ML solutions with robust monitoring. Strong SQL/Python, data engineering, and MLOps skills are required.

Excellent English communication is essential. The position offers a competitive salary range and benefits, with remote work across regions.

Qualifications

• Advanced statistics and ML modeling including hypothesis testing and feature engineering.
• Strong SQL/Python for large-scale data wrangling and data quality checks.
• Data engineering for scalable batch/streaming pipelines (ETL/ELT, CDC, Airflow/Prefect/Dagster).
• Deep knowledge of modern data platforms (lakehouse, S3/ADLS, Snowflake/BigQuery).
• MLOps deployment with Docker, Kubernetes, CI/CD, MLflow and monitoring.

Responsibilities

• Build and maintain production-grade data pipelines (batch and streaming) with SLAs, retries, idempotency, and backfills.
• Integrate and model data across sources by defining schemas, keys, transformations, and curated layers for analytics and ML.
• Implement data quality, observability, lineage, access controls, and anomaly detection on data freshness and volume.
• Productionize analytics and ML by packaging models, deploying services, managing versions, and monitoring drift and latency.
• Serve trusted data products via optimized warehouse tables, feature stores, and APIs with secure access.

Skills

ML modelling

SQL & Python

Data engineering

Data platforms

MLOps

Tools

Docker

Kubernetes

MLflow

CI/CD

Job description

CTG is seeking a Machine Learning Engineer to join our client projects. This remote, 12-month role focuses on building and maintaining production-grade data pipelines, modeling data across sources, and deploying ML solutions with robust monitoring. Strong SQL/Python, data engineering, and MLOps skills are required.

Excellent English communication is essential. The position offers a competitive salary range and benefits, with remote work across regions.