Job Description

Salary: $80,000 - 94,000 per year Requirements:

• Active DoD SECRET security clearance at a minimum.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Strong interest in pursuing a career in MLOps.
• Knowledge of Python.
• Problem-solving mindset and eagerness to learn.
• Excellent teamwork skills.
• Detail-oriented.
• Strong verbal and written communication abilities.
• Preferred qualifications include:
• Relevant coursework in machine learning, cloud computing, or software engineering.
• Basic understanding of machine learning principles.
• Familiarity with Linux/Unix environments.
• Experience with Git.
• Exposure to CI/CD concepts.
• Interest in cloud technologies or infrastructure-as-code.
• Understanding of fundamental networking concepts.

Responsibilities:

• Assist with the deployment and maintenance of machine learning models in real-time environments.
• Support the creation of modular and flexible machine learning pipelines to ensure uptime and reliability.
• Help build and manage infrastructure using Docker, Kubernetes, and related tools.
• Learn to optimize performance metrics such as inference latency and system throughput.
• Collaborate with cross-functional teams including Data Engineering, Machine Learning, and DevOps.
• Perform other duties as assigned.

Technologies:

• CI/CD
• Cloud
• DevOps
• Docker
• Git
• Support
• Kubernetes
• Linux
• Machine Learning
• Python
• Security
• Unix
• AI

More:

At SciTec, we have received multiple government contracts and are excited to expand our creative team! We are a dynamic small business focused on delivering cutting-edge sensor data processing technologies and scientific instrumentation to support National Security and Defense. We aid clients within the Department of Defense and U.S. Government in developing innovative tools for world-class data exploitation capabilities.

Please note that we exclusively work on U.S. government contracts which require all employees to have U.S. citizenship. Therefore, we cannot sponsor or assume sponsorship of employee work visas of any type. Additionally, U.S. citizenship is essential to obtain and retain a security clearance. Applications from candidates who do not meet these criteria will not be considered.

We are on the lookout for a motivated Associate Machine Learning Operations (MLOps) Engineer ready to embark on a career in one of the most strategically important and rapidly evolving fields in technology. This outstanding entry-level opportunity provides an accelerated learning path in MLOps, where you will deploy and optimize machine learning models for mission-critical systems in both classified and unclassified settings. You will develop technical skills that typically require years of experience elsewhere, collaborating with experienced MLOps engineers on projects that directly impact national security while gaining hands-on experience with advanced deployment strategies, containerization technologies, and infrastructure automation in an encouraging environment designed to advance your technical abilities.

At SciTec, we offer a competitive salary and benefits package, including an Employee Stock Ownership Plan (ESOP), a 3% fully vested company 401K contribution with no employee contribution required, and fully covered medical, dental, vision, and life insurance, among others. The salary range for this position is $80,000 - $94,000 per year. Factors considered when extending an offer include role responsibilities, candidate experience, education, and key skills. This is not a guarantee of compensation.

We pride ourselves on being an Equal Opportunity employer and encourage applicants from diverse backgrounds, including veterans and individuals with disabilities, to apply.

Job Tags

Full time, Flexible hours,

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