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:
- Masters degree in Data Science Computer Science Statistics or related field
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 stake...
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:
- Masters degree in Data Science Computer Science Statistics or related field
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