Head of AI & ML Engineering

Hamilton Barnes Associates Limited; Broomfield (CO); On-site; USD 198,000 - 242,000; Full time

Job summary

Hamilton Barnes Associates Limited is seeking a Director of AI & ML Engineering to drive strategy, development, and deployment of AI across software products and internal platforms. You will lead a talented AI/ML team and collaborate with product, engineering, and business stakeholders to deliver measurable value.

In this role you will establish ML Ops practices, set governance, and guide lifecycle management from experimentation to production, ensuring scalability, security, and cost efficiency

Qualifications

• Proven track record of deploying AI/ML in production.
• Experience with PyTorch or TensorFlow and cloud AI services.
• Ability to lead cross-functional teams and stakeholder communication.
• Knowledge of data privacy, security, and governance in production.
• Experience in high-reliability industries like telecommunications or aviation.

Responsibilities

• Execute the AI strategy aligned with Customers’ business objectives and the evolving needs of the satellite connectivity industry.
• Lead the design, build, and deployment of AI/ML solutions to improve customer experience and operational outcomes.
• Own end-to-end delivery lifecycle for AI/ML initiatives: problem framing, data readiness, experimentation, production-ization, monitoring, and continuous improvement.
• Partner with Product to translate business goals into actionable AI/ML roadmaps and measurable outcomes.
• Establish and mature ML Ops and LLM Ops practices: model versioning, CI/CD, evaluation, monitoring, drift detection, retraining workflows, and production support.
• Define engineering standards for AI/ML systems including quality, reliability, security, latency, cost-to-serve, and scalability.

Skills

ML in production

ML frameworks

Cross-functional leadership

Data privacy & governance

AI in connectivity

Tools

Azure

AWS

GCP

Job description

Hamilton Barnes Associates Limited is seeking a Director of AI & ML Engineering to drive strategy, development, and deployment of AI across software products and internal platforms. You will lead a talented AI/ML team and collaborate with product, engineering, and business stakeholders to deliver measurable value.

In this role you will establish ML Ops practices, set governance, and guide lifecycle management from experimentation to production, ensuring scalability, security, and cost efficiency