Head of AI Engineering
New
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The Global Talent Co.AI engineering
Full-Time | Remote | ColombiaFull-TimeDirector
Salary not disclosed
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Job Details
- Languages
- English proficiency at C1 level or above
- Experience
- 10+ years of engineering experience
- Required Skills
- AWSGCPMachine LearningAzureData engineeringCI/CDMLOpsGenerative AI
Requirements
- 10+ years of engineering experience with significant and proven leadership responsibility.
- Track record managing large engineering teams in fast-moving, high-accountability environments.
- Deep expertise in AI/ML systems, including generative AI, model training, and production deployment.
- Strong command of Agile/Scrum and the operational discipline to run a high-output engineering organization.
- Experience architecting and scaling ML platforms and data infrastructure.
- Comfort with client-facing work and translating complex technical concepts into business value.
- English proficiency at C1 level or above.
- Knowledge of machine learning, generative AI, and model optimization.
- Experience with MLOps, CI/CD, and ML lifecycle management.
- Cloud infrastructure experience with AWS, GCP, or Azure.
- Knowledge of data engineering, pipelines, and analytics.
- Experience with scalable system design and architecture.
Responsibilities
- Own engineering deliverables, including quality, scalability, and on-time execution.
- Lead and manage AI Engineers, ML Engineers, MLOps, and Data Engineers.
- Establish and run Agile/Scrum processes, including sprints, backlog grooming, ticketing, and release planning.
- Define AI/ML lifecycle best practices and oversee the ML platform, infrastructure, scalability, and reliability.
- Design and build scalable end-to-end ML solutions for predictions, recommendations, search, and growth systems.
- Oversee model training, optimization, deployment, and performance monitoring.
- Drive data pipelines, governance, and actionable insights, and establish frameworks for generative AI in engineering workflows.
- Partner with clients, product managers, and business leaders to shape solutions and translate business objectives into technical roadmaps.
- Hire, coach, and mentor engineers and engineering leaders, and establish career paths and performance standards.
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