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Title: Senior AI/ML Engineer of Role As a Senior AI /ML Engineer, you’ll play a critical role in turning cutting-edge...

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Selected role

Senior AI/ML Engineer

Command Alkon Incorporated Remote, US

Senior Full-time

Title: Senior AI/ML Engineer

Summary of Role

As a Senior AI /ML Engineer, you’ll play a critical role in turning cutting-edge models into real-world tools that transform how the heavy building materials industry operates. You’ll be part of a team tasked with bringing AI-powered intelligence into the core of our product ecosystem — from delivery logistics to document processing to predicting customer behavior.

This is a hands-on engineering role, ideal for someone who thrives at the intersection of AI, software engineering, and production deployment. You’ll work closely with our Data Scientists, Product Managers, and Platform Engineers to prototype, build, and deploy intelligent systems — while also influencing architecture and best practices from day one.

Candidates must be authorized to work in and currently reside in the United States.

How You’ll Succeed

AI/ML Engineering

Contribute to end-to-end ML, deep learning, and AI system development — from data pipelines to model training to integration with product UIs.
Develop deep learning models using TensorFlow, PyTorch, and other frameworks where needed (e.g., for vision or language-based use cases).
Continuously evaluate new techniques in deep learning, LLM orchestration, and applied MLOps to keep our systems cutting-edge.
Collaborate cross-functionally with software developers and product managers to integrate AI solutions into our operational products.

Production Deployment & MLOps

Build and maintain scalable, secure, and observable model inference services.
Build robust and scalable inference services, model APIs, and deployment workflows in SageMaker or similar environments.
Support secure deployment of serverless and containerized AI services (Lambda, ECS/EKS, or equivalent), including network segmentation and encryption-in-transit/at-rest.

DevSecOps & Platform Enablement

Design and maintain secure CI/CD pipelines for AI/ML workloads, including model training, validation, and deployment.
Implement infrastructure-as-code (IaC) using tools such as Terraform, AWS CDK, or CloudFormation to provision secure, repeatable cloud environments.
Partner with Security and Platform teams to enforce identity, access management (IAM), secrets management, and least-privilege policies across AI services.
Monitor and harden production AI services using logging, alerting, and runtime security tooling (e.g., CloudWatch, OpenTelemetry, GuardDuty, or equivalents).

What You Bring

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field.
3+ years of experience building and deploying ML and deep learning models in production settings.
Proficiency in Python, with hands-on experience using Scikit-Learn as well as TensorFlow or PyTorch.
Practical experience working with LLMs — including fine-tuning, prompt engineering, or integrating models like OpenAI, Claude, or open-source LLMs into production workflows.
Experience using AWS SageMaker and Bedrock or equivalent cloud-based AI/ML platforms.
(Preferred) Some frontend familiarity (React or similar) to support integration into product UIs.
Experience deploying AI solutions in a serverless cloud environment (AWS, GCP, or Azure).
Strong communication skills and ability to work cross-functionally with product, engineering, and data stakeholders.

Who You Are

Tech Savvy: You anticipate and adopt innovations in business-building digital and technology applications.

Manages Complexity: You make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.

Decision Quality: You make good and timely technical decisions around models, architectures, and platforms that keep products and teams moving forward.

Nimble Learning: You actively learn through experimentation when tackling new problems, using both successes and failures as learning fodder.

Drives Results: You consistently deliver production-ready AI/ML capabilities that create measurable business impact, even under technical or operational constraints.

All Company Core Competencies

Customer Focus: You build strong customer relationships and deliver customer-centric solutions.

Cultivates Innovation: You create new and better ways for the organization to be successful.

Collaborates: You build partnerships and work collaboratively with others to meet shared objectives.

Instills Trust: You gain the confidence and trust of others through honesty, integrity, and authenticity.

Self-Development: You actively seek new ways to grow and be challenged using both formal and informal development channels.

Develops Talent (Mgmt Only): You develop people to meet both their career goals and the organization's goals.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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