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
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💰 - Day rate
Unknown
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🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Alaska
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🧠 - 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