Mindlance

Gen AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Engineer on an 18-month contract, hybrid in Phoenix/Chandler, AZ; Irving/Dallas, TX; Charlotte, NC; or Concord, CA. Requires expertise in Python, PySpark, TensorFlow, and experience in financial services. W2 candidates only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
February 7, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Spark (Apache Spark) #PyTorch #Python #ML (Machine Learning) #Data Science #PySpark #Compliance #AI (Artificial Intelligence) #Cloud #TensorFlow #Monitoring #GCP (Google Cloud Platform) #Deployment #Model Deployment #Deep Learning
Role description
Only W2 candidates are acceptable, We can't do C2C/C2H/1099. Please apply accordingly. Job title: Gen AI Engineer Contract: 18 months (potential extension/conversion) Hybrid working model – 3 day onsite/2 days remote Location options: Phoenix/Chandler, AZ / Irving/Dallas, TX / Charlotte, NC / Concord, CA Desired Qualifications: β€’ Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP), Vertex AI, Google ADK, MCP. β€’ Strong background in GenAI, Agentic workflow, machine learning, deep learning, and statistical analysis evidenced by successful deployment at scale β€’ Experience in the financial services industry, Commercial Banking a plus β€’ Familiarity with regulatory and compliance considerations in GenAI/AI model deployment β€’ Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders β€’ Strong full stack data science skills, hands on experience with ADK, MCP, A2A, O2A. LLM evaluation framework, design and develop LLM guardrails, assertions, controls, and performance monitoring EEO: β€œMindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”