Senior Data Scientist – ML + GenAI / Agentic AI Edit listing

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