Senior Data & AI Engineer - ML, MLOps & Data Infra

Cisive; Annapolis (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Cisive is seeking a data/AI engineer to design robust data infrastructure and develop AI/ML systems for internal and external customers. The role emphasizes end-to-end model development, deployment, and collaboration with business stakeholders.

You will work on modern AI workflows, build scalable pipelines, and contribute to data governance while using tools like LangChain, vLLM, and FastAPI for production solutions.

Qualifications

• Degree fields: CS, Physics, Mathematics or similar; Master’s a plus.
• 3–5 years of experience as data/ML/AI engineer or similar role.
• Strong Python skills for building, training, and deploying ML models.

Responsibilities

• Design and implement data infrastructure to extract, clean, move and store data.
• Independently develop AI/ML systems and products for internal and external use.
• Communicate with business stakeholders to understand needs and develop solutions.
• Build and deploy AI workflows and APIs (FastAPI) for production use.
• Maintain and monitor models in production using MLOps tooling.

Skills

Python

AI/ML Engineering

Data Modeling

ETL Pipelines

LangChain

FastAPI

MLOps

Education

Master's degree or higher

Bachelor's degree in CS, Physics, Math, or related

Tools

LangGraph

vLLM

LangSmith/LangFuse

MLflow

Claude/OpenAI SDKs

Databricks/Spark

Job description

Cisive is seeking a data/AI engineer to design robust data infrastructure and develop AI/ML systems for internal and external customers. The role emphasizes end-to-end model development, deployment, and collaboration with business stakeholders.

You will work on modern AI workflows, build scalable pipelines, and contribute to data governance while using tools like LangChain, vLLM, and FastAPI for production solutions.