This job has closed.

Command Alkon · 2 days ago

Senior AI/ML Engineer

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

Command Alkon is a company focused on transforming the heavy building materials industry through innovative technology. As a Senior AI/ML Engineer, you will develop and deploy machine learning models and AI-powered solutions that integrate into the company's core product ecosystem, collaborating with cross-functional teams to enhance operational efficiency.

Consumer ElectronicsInformation TechnologyManufacturingReal EstateRoboticsSoftware

No H1B

Responsibilities

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

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

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)

Qualification

ML system developmentDeep learning frameworksMLOps practicesAWS SageMakerPythonLLM integrationInfrastructure as CodeCommunication skillsCollaborationProblem-solving

Required

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

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

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