Part-Time AI/ML Scientist — GenAI in Production

Bechtel Corporation; Reston (VA); Hybrid; USD 85,000 - 122,000; Full time

Job summary

Bechtel Corporation in Reston, VA is seeking a Data Scientist to join the AI Delivery Team. You will design, develop, and deploy AI solutions that automate reporting, accelerate schedule development, and give project teams earlier visibility into issues.

Collaborating with data engineers, software teams, and SMEs, you will productionize models for enterprise scale on Azure ML and Databricks, while meeting Bechtel's security and governance standards.

Qualifications

• Strong Python and AI/ML library skills for production models.
• Experience with Generative AI frameworks (LangChain, LangGraph) and prompt engineering.
• Solid statistics, experimental design, and model evaluation.
• Knowledge of SQL/NoSQL data stores and data preparation.
• Experience with cloud platforms (Azure, Databricks).
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated initiative through internships or projects.

Responsibilities

• Build, validate, and deploy AI/ML models for defined use cases.
• Prepare data pipelines: profiling, cleansing, integration.
• Develop GenAI and ML models and productionize prototypes.
• Deploy models on Azure ML and Databricks within Bechtel's ecosystem.
• Monitor and improve models to sustain business impact.
• Ensure security, compliance, and governance.
• Communicate findings to both technical and non-technical stakeholders.
• Stay current with emerging AI trends and iterate.

Skills

Python

AI/ML libraries

LangChain

LangGraph

Prompt engineering

Statistics

Model evaluation

SQL/NoSQL

Cloud platforms

Communication

Education

University Hire

Tools

LangChain

LangGraph

Azure ML

Databricks

Job description

Bechtel Corporation in Reston, VA is seeking a Data Scientist to join the AI Delivery Team. You will design, develop, and deploy AI solutions that automate reporting, accelerate schedule development, and give project teams earlier visibility into issues.

Collaborating with data engineers, software teams, and SMEs, you will productionize models for enterprise scale on Azure ML and Databricks, while meeting Bechtel's security and governance standards.