Tier 3 MLOPs Engineer (CVT - 004)

SageCor Solutions; Maryland; On-site; USD 90,000 - 140,000; Full time

Job summary

SageCor Solutions LLC is seeking a skilled engineer to ensure reliability and security of production systems in the Maryland area. You will work within an Agile team to manage Tier 3 incidents and build cloud-based ML/AI infrastructure.

The role emphasizes expertise in generative AI, system administration operations, and incident management, with opportunities to grow in MLOps and cloud tooling in a security-focused environment.

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 ability to translate between technical 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

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 administrations operations

Incident management workflow

ML lifecycle / MLOps

Written communication

Education

Bachelor's degree or 4 years experience in system administrations operations

Tools

Python

AWS

Kubernetes

Helm

Terraform

Git

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.

Job Description:

• 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 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
• 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

Equal Employment Opportunity

Consistent with federal and state law where SageCor conducts business, 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.