Machine Learning Engineer

Job Title: Machine Learning Engineer/ AI Data Governance Specialist

Work Location: Dallas, TX (onsite, 5 days/week)

Level of experience: 10 years Min with Retail knowledge Work timings: 8 AM to 4 PM PST

Summary:

10–15 years in data governance or data stewardship, including 3–5 years focused on AI/ML data Experience working with enterprise-scale data platforms and large organizations

Technical Skills:

Strong understanding of AI/ML data pipelines: ingestion, labeling, feature engineering, model training Familiarity with MLOps tools such as MLflow, Azure ML, SageMaker, Databricks Experience with data governance/catalog tools (Collibra, Atlan, Alation, Informatica) Working knowledge of SQL and basic Python Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) Understanding of feature stores, model registries, and data versioning

Governance & Compliance:

Ability to develop and enforce AI data governance policies Knowledge of GDPR, CCPA, and responsible AI guidelines Experience conducting bias reviews, data quality checks, and maintaining data lineage Business & Leadership Skills Strong analytical thinking with the ability to translate insights into recommendations Excellent communication skills across executive and technical teams Proven ability to lead cross‑functional governance discussions and drive adoption Experience in process improvement and implementing governance workflows

Soft Skills:

Detail‑oriented, organized, and capable of managing multiple priorities Strong stakeholder‑management and relationship‑building skills Self‑motivated, adaptable, and comfortable working in a rapidly evolving AI environment