ektello
AI Data Governance Specialist/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Governance Specialist/ML Engineer in Dallas, TX, with a contract length of over 6 months and a pay rate of W2. Requires 10-15 years in data governance, strong AI/ML pipeline knowledge, and familiarity with MLOps tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Azure #SQL (Structured Query Language) #SageMaker #Data Governance #Alation #Cloud #Collibra #Databricks #Informatica #Python #Redshift #ML (Machine Learning) #AI (Artificial Intelligence) #Snowflake #Data Pipeline #BigQuery #MLflow #Data Stewardship
Role description
W2 AI Data Governance Specialist/ML Engineer
Work Location: Dallas, TX (onsite, 5 days/week)
Onsite, 5 days a week
Work timings: 8 AM to 4 PM PST
ektello is partnering with a global apparel retail leader to find a ML Engineer/AI Specialist to join thier growing team. This is a long-term, onsite, W2 contract in Dallas, TX. No c2c options.
Qualificaitons.
• 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
W2 AI Data Governance Specialist/ML Engineer
Work Location: Dallas, TX (onsite, 5 days/week)
Onsite, 5 days a week
Work timings: 8 AM to 4 PM PST
ektello is partnering with a global apparel retail leader to find a ML Engineer/AI Specialist to join thier growing team. This is a long-term, onsite, W2 contract in Dallas, TX. No c2c options.
Qualificaitons.
• 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
