Command Alkon · 1 day ago
Senior Machine Learning Engineer
United States
Full-time
Remote
Senior Level
5+ years expCommand Alkon is a company focused on advancing AI-powered systems for the heavy materials industry. The Senior Machine Learning Engineer will design, train, and evaluate machine learning models to optimize industrial processes, collaborating closely with engineers and the Product Operations team to ensure the reliability and effectiveness of solutions.
Consumer ElectronicsInformation TechnologyManufacturingReal EstateRoboticsSoftware
Responsibilities
Deliver ML solutions that are scalable and resilient, supporting consistent performance across processes and sites
Design, train, and validate machine learning models that improve industrial processes performance and stability
Lead end-to-end model development, from data exploration and feature engineering through deployment and validation
Partner with engineers to ensure models integrate efficiently with production systems in Azure and AWS environments
Propose data selection and quality control methods that improve training data representativeness and model robustness
Contribute to the monitoring and evaluation approach for ongoing model health
Define and implement retraining and validation strategies that support continuous performance improvement
Document methodologies, experiments, assumptions, and decisions to ensure clarity, traceability, and reproducibility
Collaborate with team members, the Product Operations team, and other stakeholders to support large-scale deployment and adoption
Support the growth of the team by helping train, mentor, and coach less experienced colleagues
Qualification
Required
Bachelor's or Master's degree in Data Science, Applied Mathematics, Computer Science, or equivalent practical experience
5+ years of hands-on experience in applied machine learning, with a focus on regression, forecasting, or optimization
Proven experience in production-grade ML pipelines, from experimentation to deployment
Experience working with sensors and operational data in real time environments
Strong grasp of data science concepts such as cross-validation, quantile modeling, and model safeguard techniques
Strong background in Python and data science libraries, with the ability to write clean, efficient, and production-ready code
Experience using modern development tools and practices, including Git and related workflows, code review processes, automated testing, and CI/CD pipelines
Solid understanding of data lifecycle management, including time-series feature engineering and retraining strategies
Experience with ML model monitoring, versioning, and continuous retraining frameworks
Experience with Azure ML, CosmosDB, Service Bus, and Kubernetes or AWS equivalent services
Comfortable documenting and presenting analytical findings to mixed technical and non-technical audiences
Effective communication and collaboration skills
Self-driven, organized, and able to deliver with minimal supervision
Ability to mentor and coach less experienced colleagues through technical guidance, feedback, and knowledge sharing
Experience applying software development and engineering best practices, including architectural, design, and coding principles
Experience with containerized workloads (Docker)
Company
Command Alkon
Command Alkon is a global supplier of integrated solutions for construction materials producers.
501-1000 employees
H1B Sponsorship
Command Alkon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$765MKey Investors
HeidelbergCement AG
2021-09-28Secondary Market· $765M
2020-03-31Acquired
Leadership Team
Martin Willoughby
Chief Executive Officer
Ron Carlson
Senior Vice President, Industry Advisor
Recent News
2026-01-16
2026-01-16
Command Alkon Incorporated
2025-11-20
Company data provided by crunchbase