AI/ML Engineer

📋 Job Overview

The AI/ML Engineer will design, build, and maintain AI/ML lifecycle core services and products. This person will create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment. This person will develop and implement infrastructure for training, validating, and deploying machine learning models, create reusable components and libraries to accelerate AI/ML development, and build model serving platforms for efficient inference. This person will implement automated machine learning pipelines, design systems for model monitoring and performance tracking, and develop tools for model explainability and interpretability. This person will optimize AI/ML algorithms for performance and scalability, implement MLOps practices for continuous integration and deployment of models, and collaborate with data engineers to ensure data pipelines support AI/ML requirements. This person will stay current with advances in AI/ML technologies, document AI/ML systems and processes, and provide technical guidance to data scientists implementing models. This person will troubleshoot complex issues in AI/ML systems, implement version control for models and datasets, and develop testing frameworks for AI/ML components.

🏢 About Avalore

Avalore is an Equal Opportunity Employer - We do not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

🎯 The Role

The AI/ML Engineer will design, build, and maintain AI/ML lifecycle core services and products. This person will create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment.

✅ Key Responsibilities

• Design and implement infrastructure for training, validating, and deploying machine learning models
• Create reusable components and libraries to accelerate AI/ML development
• Build model serving platforms for efficient inference
• Implement automated machine learning pipelines
• Design systems for model monitoring and performance tracking
• Develop tools for model explainability and interpretability
• Optimize AI/ML algorithms for performance and scalability
• Implement MLOps practices for continuous integration and deployment of models
• Collaborate with data engineers to ensure data pipelines support AI/ML requirements
• Stay current with advances in AI/ML technologies
• Document AI/ML systems and processes
• Provide technical guidance to data scientists implementing models
• Implement version control for models and datasets
• Develop testing frameworks for AI/ML components

📌 Required Qualifications

• SECRET Security Clearance Required
• Good communication skills, self-starter mindset
• Professional proficiency in English
• Demonstrated proficiency in using all Microsoft Office applications
• Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position.

🎁 Benefits

• Employer Contributions to Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA) with a generous matching program
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development
• Employee Assistance Program
• Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
• Salary estimates for this job range from $107,000 - $233,000.

🛂 Visa & Eligibility

• Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position.