Tier 3 MLOPs Engineer (CVT - 004)

SageCor Solutions LLC.

Annapolis (MD)

On-site

USD 140,000 - 180,000

Full time

8 days ago

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Job summary

SageCor Solutions in Maryland and the Greater Washington D.C. area seeks an experienced engineer with active TS/SCI with Polygraph to help ensure the reliability, performance, and security of critical production systems and platforms.

Join a collaborative Agile team building and maintaining Cloud software and infrastructure that supports machine learning and AI across our programs, with opportunities to work on end-to-end data and ML pipelines.

Qualifications

  • 2+ years of experience in generative AI concepts and technologies such as Claude, GPT, and Gemini
  • 2+ years of experience with working in a system administrations operations environment
  • 2+ years of experience in working with Tier II and Tier III support and handling the incident management workflow
  • 2+ years of experience working with test and evaluation
  • Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
  • Outstanding written communication skills and are able to translate between technical and non-technical users and developers
  • Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date

Responsibilities

  • Ensure the reliability, performance, scalability, and security of critical production systems and platforms.
  • Work with a collaborative Agile development team to manage Tier 3 incidents and help build and maintain Cloud software and infrastructure that supports machine learning and AI across our program.

Skills

Generative AI concepts
System administration operations
Incident management workflow
Test and evaluation
ML lifecycle / MLOps
Written communication

Education

Bachelor's degree in Computer Science or related field

Tools

Python
AWS
Kubernetes
Terraform
Git

Job description

Job Description:

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.

Active TS/SCI w/ Polygraph required.

  • Ensure the reliability, performance, scalability, and security of critical production systems and platforms.
  • Work with a collaborative Agile development team to manage Tier 3 incidents and help build and maintain Cloud software and infrastructure that supports machine learning and AI across our program.
Required Qualifications:
  • 2+ years of experience in generative AI concepts and technologies such as Claude,GPT, and Gemini
  • 2+ years of experience with working in a system administrations operationsenvironment
  • 2+ years of experience in working with Tier II and Tier III support and handling the incident management workflow
  • 2+ years of experience working with test and evaluation
  • Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
  • Outstanding written communication skills and are able to translate betweentechnical and non-technical users and developers
  • Bachelor’s degree or 4 years of experience in a system administrations operations environment
  • Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC certification within 6 months of hire date
Preferred Qualifications:
  • Experience with Python, AWS, Kubernetes, and IaC tools like Helm and Terraform
  • Experience developing prompts, tools, and agents with LLMs
  • Experience with design and implementation, including building, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment
  • Experience with version control tools, including Git
  • Security+ CE, SSCP, CCNA-Security, or GSEC Certification

SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

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