Data Scientist
RWE CORP.
San Francisco, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
San Francisco, United States of America
Tech stack
3d Models
Artificial Intelligence
Amazon Web Services (AWS)
Python
Performance Tuning
TensorFlow
SQL Databases
Unstructured Data
PyTorch
Large Language Models
Prompt Engineering
Generative AI
PySpark
Scikit Learn
Information Technology
HuggingFace
Data Management
Machine Learning Operations
Data Pipelines
Databricks
Job description
rWe 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. \r\r, r\r \r
- Design and implement AI/ML and GenAI solutions (RAG, document understanding, anomaly detection)\r
- Build, deploy, and maintain models using Python, ML frameworks, and cloud tools\r
- Develop scalable data pipelines using Databricks, PySpark, and modern data platforms\r
- Collaborate with business teams to translate use cases into technical solutions\r
- Establish and support MLOps practices, model monitoring, and performance tuning\r
- Provide technical guidance and support for AI/ML initiatives\r
Requirements
r\r \r
- 4+ years of experience in Data Science / ML / AI development\r
- Strong Python and SQL skills; experience with R or similar tools\r
- Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)\r
- Experience with LLMs, RAG architectures, and prompt engineering\r
- Experience working with unstructured data/document processing\r
- Knowledge of AWS AI/ML services (SageMaker, Bedrock)\r
- Experience with Databricks, PySpark, and modern data stacks\r
- Strong communication and stakeholder engagement skills\r
\r\r
\r\r, r\r \r
- Master's degree in Data Science, Computer Science, Statistics, or related field\r
\r