

Openkyber
Salesforce AI / Einstein Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Salesforce AI / Einstein Developer on a W2 contract in San Francisco, CA, offering a pay rate of "unknown." Candidates must have 4+ years in Data Science/ML, strong Python and SQL skills, and experience with ML frameworks and AWS services.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Alaska
-
🧠 - Skills detailed
#SageMaker #Data Science #Hugging Face #SQL (Structured Query Language) #Scala #Data Pipeline #Computer Science #Cloud #Monitoring #Statistics #TensorFlow #PySpark #AI (Artificial Intelligence) #Anomaly Detection #PyTorch #Databricks #ML (Machine Learning) #Python #AWS (Amazon Web Services) #R #Spark (Apache Spark)
Role description
Data Scientist (AI/ML, GenAI) Location: San Francisco, CA Type of Employment: W2 Contract
Job Summary: We are seeking a Data Scientist to build and deploy scalable AI/ML and Generative AI solutions for large-scale data and document processing. This role involves working closely with business stakeholders to design models, develop production-ready solutions, and support AI/ML platforms in a modern cloud environment.Key Responsibilities:
- Design and implement AI/ML and GenAI solutions (RAG, document understanding, anomaly detection)
- Build, deploy, and maintain models using Python, ML frameworks , and cloud tools
- Develop scalable data pipelines using Databricks, PySpark , and modern data platforms
- Collaborate with business teams to translate use cases into technical solutions
- Establish and support MLOps practices , model monitoring, and performance tuning
- Provide technical guidance and support for AI/ML initiatives
Required Skills:
- 4+ years of experience in Data Science / ML / AI development
- Strong Python and SQL skills; experience with R or similar tools
- Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
- Experience with LLMs, RAG architectures, and prompt engineering
- Experience working with unstructured data/document processing
- Knowledge of AWS AI/ML services (SageMaker, Bedrock)
- Experience with Databricks, PySpark , and modern data stacks
- Strong communication and stakeholder engagement skills
Qualifications:
Master's degree in Data Science, Computer Science, Statistics, or related field
For applications and inquiries, contact: hirings@openkyber.com
Data Scientist (AI/ML, GenAI) Location: San Francisco, CA Type of Employment: W2 Contract
Job Summary: We are seeking a Data Scientist to build and deploy scalable AI/ML and Generative AI solutions for large-scale data and document processing. This role involves working closely with business stakeholders to design models, develop production-ready solutions, and support AI/ML platforms in a modern cloud environment.Key Responsibilities:
- Design and implement AI/ML and GenAI solutions (RAG, document understanding, anomaly detection)
- Build, deploy, and maintain models using Python, ML frameworks , and cloud tools
- Develop scalable data pipelines using Databricks, PySpark , and modern data platforms
- Collaborate with business teams to translate use cases into technical solutions
- Establish and support MLOps practices , model monitoring, and performance tuning
- Provide technical guidance and support for AI/ML initiatives
Required Skills:
- 4+ years of experience in Data Science / ML / AI development
- Strong Python and SQL skills; experience with R or similar tools
- Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
- Experience with LLMs, RAG architectures, and prompt engineering
- Experience working with unstructured data/document processing
- Knowledge of AWS AI/ML services (SageMaker, Bedrock)
- Experience with Databricks, PySpark , and modern data stacks
- Strong communication and stakeholder engagement skills
Qualifications:
Master's degree in Data Science, Computer Science, Statistics, or related field
For applications and inquiries, contact: hirings@openkyber.com


