GenAI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Engineer with a contract length of "unknown." It requires local candidates to work onsite three days a week, offering a pay rate of "unknown." Key skills include 5+ years in AI/ML architecture, expertise in Python, SQL, and AWS.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
680
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Parsippany, NJ
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🧠 - Skills detailed
#ML (Machine Learning) #SQL (Structured Query Language) #Cloud #Computer Science #Statistics #Data Science #Leadership #PyTorch #TensorFlow #AI (Artificial Intelligence) #Python #AWS (Amazon Web Services) #Libraries #"ETL (Extract #Transform #Load)" #Databricks
Role description
β€’ β€’ β€’ This is an architect role. Not a Data Scientist position. β€’ β€’ β€’ Local candidates only please. Required three days per week onsite. Position Title: GenAI Engineer Position Summary: GenAI Engineer Responsibilities: β€’ Design and develop innovative AI/ML solutions in collaboration with Center of Excellence β€’ Develop systems architecture, technical roadmaps, and prototypes β€’ Build, test, and deploy AI models into production leveraging AWS services β€’ Continuously explore new AI techniques and methodologies to drive innovation Requirements: β€’ Degree in Computer Science, Statistics, or related quantitative field β€’ 5+ years experience architecting and developing AI/ML systems, 1+ year experience with GenAI systems β€’ Expertise in Python, SQL, PyTorch, TensorFlow, and other ML libraries/frameworks β€’ Experience deploying solutions on cloud platforms like AWS. Familiarity with MLOps & AIOps principles. β€’ Strong communication, collaboration, and coaching skills β€’ Nice to have: Databricks experience You can expect: β€’ Courageous collaboration across high-performing teams β€’ Opportunity to deliver AI innovations at epic scale β€’ An environment surrounded by curious lifelong learners β€’ A culture of innovation, ownership, and hands-on creativity β€’ Industry leadership in applying AI/ML to transform HR β€’ Belonging in a company committed to equality, diversity, and inclusion Let's talk if you're ready to architect the next generation of AI!