Salesforce AI / Einstein Developer
Data Freelance Hub, San Francisco, CA, United States
Salesforce AI / Einstein Developer (W2 Contract)
Location: San Francisco, CA
Contract type: W2
Pay rate: "unknown"
Required experience: 4+ years in Data Science/ML, strong Python & SQL skills, experience with ML frameworks and AWS services.
Data Scientist (AI/ML, GenAI) Location: San Francisco, CA (Remote)
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
Freelance data hiring powered by an engaged, trusted community — not a CV database. #J-18808-Ljbffr
Contract type: W2
Pay rate: "unknown"
Required experience: 4+ years in Data Science/ML, strong Python & SQL skills, experience with ML frameworks and AWS services.
Data Scientist (AI/ML, GenAI) Location: San Francisco, CA (Remote)
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
Freelance data hiring powered by an engaged, trusted community — not a CV database. #J-18808-Ljbffr