Lead AI Data Engineer - 100% onsite Role

Silver Spring, MD, US • Posted 3 hours ago • Updated 2 hours ago
Contract W2
24 Months
No Travel Required
On-site
Depends on Experience
Company Branding Image
Fitment

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Job Details

Skills

  • MLOPS
  • Python
  • Data Warehousing
  • ETL
  • LLM
  • AWS

Summary

        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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90994547
  • Position Id: 9005703
  • Posted 3 hours ago

Company Info

About Unisoft Technology Inc

Unisoft Technology Inc. is a SBA 8(a), MBE, CMMI L3 certified company specializing in custom IT solutions and offering a complete array of integrated software / hardware expertise and services. Unisoft’s primary goal is to provide Information Technology services to Federal Government agencies and Private Sector clients.

Unisoft is involved in every stage of the Software Development Life Cycle (SDLC), which includes methodologies to architect, design, develop, deploy, and maintain applications and database software systems. Our capabilities encompass all aspects of implementation and operation, including gathering systems and business requirements, developing functional specifications, system designing, and customizing software to fit specific client needs.

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