Job Description

Responsibilities

• We are seeking an experienced AI/ML Data Engineer to design, implement, and maintain data models, integrate data sources, and leverage AI, ML, and Gen AI for data-driven insights and automation
• Design and implement conceptual, logical, and physical data models to support business needs
• Develop data synthesis processes ensuring accuracy, readiness for analysis, and integration of multiple data sources into a unified system
• Utilize Databricks and PySpark for handling large volumes of structured and unstructured data
• Implement AI/ML models for data processing, predictive analytics, and optimization of data pipelines
• Work with Gen AI frameworks (OpenAI, Hugging Face, LangChain) for automation, insights generation, and AI-powered data pipelines
• Design and develop scalable, secure APIs for seamless data exchange
• Collaborate with data architects, analysts, and IT teams to align data strategies with business objectives
• AI/ML model training & deployment

Requirements

• Experience: 10+ Years
• SQL, Databricks, PySpark, Data Modeling
• Scalable API development for data applications
• Strong communication & collaboration skills
• Job Title: Sr. AI/ML Data Engineer Location: Washington, DC (Hybrid – 4 days onsite) Duration: Long Term Experience: 10+ Years W2 role only, No C2C We are seeking an experienced AI/ML Data Engineer to design, implement, and maintain data models, integrate data sources, and leverage AI, ML, and Gen AI for data-driven insights and automation