Data Scientist - Gen AI, Databricks, Azure [Hybrid NYC Area or San Francisco]

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in Gen AI, requiring 3+ years of experience in machine learning and proficiency in Databricks, PySpark, and Azure. It's a 12-month contract, hybrid in the NYC or San Francisco area, with a pay rate of "unknown."
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 16, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Addison, TX
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🧠 - Skills detailed
#Hugging Face #Model Evaluation #Delta Lake #Databricks #GIT #TensorFlow #Kubernetes #Data Science #Vault #Azure #Compliance #Data Lake #Deep Learning #ADF (Azure Data Factory) #ML (Machine Learning) #MLflow #PyTorch #Consulting #Scala #Spark (Apache Spark) #Python #Automation #Azure Data Factory #CRM (Customer Relationship Management) #PySpark #Data Pipeline #Docker #AI (Artificial Intelligence) #SQL (Structured Query Language)
Role description
No sponsorship available. No third-party/C2C candidates. Gen AI Specialist Hybrid | Must be based in the NYC or San Francisco area (occasional on-site meetings required) This is an exclusive, off-market opportunity. Our executive client searches are confidential. Apply now to learn more about this unique new position! What’s In It For You β€’ 12-month contract with strong likelihood of extension β€’ Work on a high-impact AI initiative within a global financial services client environment β€’ Join a fast-growing GenAI team building enterprise-level, production-ready AI solutions What You Get To Do β€’ Design, train, and deploy advanced machine learning models using Databricks, MosaicML, and Azure ML β€’ Optimize and fine-tune LLMs and other deep learning models for scalability and performance β€’ Develop and manage data pipelines using PySpark, MLflow, Delta Lake, and CI/CD practices β€’ Build and operationalize intelligent automation and agent-based applications (e.g., CRM, prospecting, finance tools) β€’ Collaborate cross-functionally with engineering and product teams to convert business needs into GenAI solutions β€’ Perform EDA, feature engineering, and model evaluation using key performance metrics (precision, recall, F1, etc.) β€’ Document findings, mentor junior team members, and contribute to governance and compliance standards for ethical AI What You Need To Succeed β€’ 3+ years of hands-on experience in applied machine learning or AI model development with models deployed in production β€’ Strong experience in Databricks, PySpark, and Spark MLlib in distributed environments β€’ Practical knowledge of MosaicML for model training and optimization β€’ Expertise in Python, with proficiency in SQL and deep learning frameworks like PyTorch, TensorFlow, or Hugging Face β€’ Solid understanding of the Azure ecosystem, including Azure ML, Data Lake, Key Vault, and Event Hubs β€’ Experience building CI/CD workflows and model pipelines using Git, Docker, Kubernetes, and Azure Data Factory β€’ Consulting background with the ability to interface with clients and translate business needs into technical outcomes β€’ Ability to work both independently and collaboratively in a dynamic, cross-functional team Bonus Perks As a valuable new member of the team, you will have access to our company’s extensive client list, the support of a tenured team, and the opportunity to enroll in a variety of health benefit plans. We are eager to help ensure your success in this exciting new role. Want to find out more about this new job opportunity? Apply here! #IND1