Haystack
← Back to Jobs
Technology
UTUnisoft Technology Inc logo

Sr Lead AI Data Engineer - 100% onsite work and onsite interview

Unisoft Technology IncSilver Spring, MD🇺🇸United StatesPosted Oct 16, 2026

Why This Role Stands Out

You can make a significant impact by leading AI data engineering initiatives within a reputable technology company, leveraging your extensive experience in ML systems and MLOps. This role is ideal for a seasoned professional with a deep understanding of cloud-native services and LLMs who thrives in collaborative, onsite environments. Apply now to advance your career in cutting-edge AI development.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Silver Spring, MD, United States
Posted
Yesterday
DockerAWSMLOpsMLflowScikit-learnAirflowHugging FaceKubernetesPyTorchPythonTensorFlow

Job Description

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field

15+ years of experience in software or data engineering, with at least 4 years focused on ML systems or MLOps in a production environment.

Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units.

Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).

Hands-on experience with MLOps tooling: Kubeflow, MLflow, Airflow, or equivalent.

Experience with cloud-native data and ML services on AWS.

Working knowledge of LLMs, prompt engineering, and RAG architecture patterns.

Experience with containerization and orchestration (Docker, Kubernetes).

Strong understanding of data engineering concepts: pipelines, feature stores, data quality, and lineage.

Similar jobs

Browse related jobs

Apply