V-Soft Consulting Group, Inc. is hiring: Machine Learning Engineer in dallas

Primary Location: Dallas, Texas

Machine Learning Engineer (Onsite)

Education and Experience

• 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.
• 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.

Knowledge, Skills and Abilities

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.

Qualified candidates should send their resumes to

As a valued V‑Soft Consultant, you’re eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more.

V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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