Machine Learning Engineer

Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE

7d•Remote

About The Position

CTG is seeking to fill a Machine Learning Engineer position for our client. This is a remote, 12-month contract role. The position involves building and maintaining production-grade data pipelines, integrating and modeling data, implementing data quality controls, productionizing analytics and ML models, and serving trusted data products to consumers.

Requirements

Advanced statistics and ML modeling (hypothesis testing, experimentation, feature engineering, evaluation, calibration).
Strong SQL/Python for large-scale data wrangling (joins, windows, tuning, cleansing, reconciliation, automated quality checks).
Data engineering for scalable batch/streaming pipelines (ETL/ELT, CDC, incremental, Airflow/Prefect/Dagster).
Deep knowledge of modern data platforms (lakehouse/warehouse, S3/ADLS, Snowflake/BigQuery/Redshift, Parquet/Delta/Iceberg, partitioning, access control).
MLOps deployment with Docker, Kubernetes, CI/CD, MLflow, and end‑to‑end monitoring.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Responsibilities

Build and maintain production-grade data pipelines (batch and streaming) with clear SLAs, retries, idempotency, and automated backfills.
Integrate and model data across sources by defining schemas, keys, transformations, and curated layers that support analytics and ML consumption.
Implement data quality, observability, and governance controls, including validation rules, lineage, access controls, and anomaly detection on data freshness and volume.
Productionize analytics and ML by packaging models, deploying services or jobs, managing versioning, and monitoring drift, performance, and latency.
Serve trusted data products to consumers via optimized warehouse tables, feature stores, and APIs, ensuring secure access and predictable query performance.