Senior Data Scientist – ML, GenAI & Agentic AI
Location: Santa Clara, CA
Experience: 5–7 years relevant experience
Employment Type: Full-Time
About The Role
This is not a research-only or GenAI exploration role. We are looking for an experienced practitioner who has built and deployed AI/ML solutions in production, can work closely with product and engineering teams, and can confidently communicate technical concepts and architecture decisions to customers and non-technical stakeholders.
Experience In The Energy Domain Is Highly Preferred.
Key Responsibilities
- Design, develop, and deploy machine learning models for complex business problems.
- Apply traditional ML techniques including classification, regression, forecasting, anomaly detection, feature engineering, and model evaluation.
- Build and productionize LLM and Generative AI solutions.
- Develop Agentic AI workflows using technologies such as LangGraph, LangChain, MCP, tool calling, and agent orchestration.
- Design and implement production-grade RAG solutions, including vector databases, hybrid retrieval, reranking, and knowledge graphs.
- Work with AWS Bedrock or comparable enterprise GenAI cloud platforms.
- Analyze large and complex datasets using Python, SQL, and modern data platforms.
- Collaborate with product managers, engineers, customers, and cross-functional stakeholders.
- Communicate architecture decisions, model performance, trade-offs, and recommendations to both technical and non-technical audiences.
- Support production deployment, monitoring, evaluation, and continuous improvement of AI/ML systems.
- Mentor junior data scientists and contribute to technical best practices.
Required Skills
- 5–7 years of relevant Data Science / Machine Learning experience.
- Strong hands-on traditional ML/Data Science background.
- Strong Python and SQL skills.
- Experience with ML frameworks such as Scikit-learn, XGBoost, CatBoost, TensorFlow, or PyTorch.
- 12+ months of recent, continuous hands-on GenAI/LLM experience.
- Proven production deployment of AI/ML or GenAI systems.
- Hands-on Agentic AI production experience, including one or more of:
- LangGraph
- LangChain
- MCP
- Tool calling
- Agent orchestration
- Strong RAG implementation experience, including:
- Vector databases
- Hybrid retrieval
- Reranking
- Knowledge graphs
- AWS Bedrock experience strongly preferred.
- Azure OpenAI or Google Vertex AI may be considered as alternate GenAI cloud experience.
- Experience with big data technologies such as Spark/Hadoop.
- Experience with Databricks and/or Snowflake is preferred.
- Experience with LLMOps, evaluation, monitoring, or AI evaluation tooling is a plus.
- Strong communication and client-facing/consulting skills.
Preferred Domain Experience
- Energy / Utilities / Oil & Gas
- Enterprise technology
- Consulting
- Large-scale enterprise products
Skills: enterprise,data,cloud,databases,bedrock,data science,ml,skills,aws,architecture