

Data Scientist - Gen AI, Databricks, Azure [Hybrid NYC Area or San Francisco]
β - 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."
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 16, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Addison, TX
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π§ - 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!
Whatβs 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 companyβs 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
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!
Whatβs 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 companyβs 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