Lead Machine Learning Platform Consultant

Quick Facts

• Role: Machine Learning Platform Lead (Lead Consultant)

Description

Lead the architecture, build, and scaling of core ML platforms that power enterprise machine learning solutions. Provide deep technical leadership across ML infrastructure, MLOps automation, and model deployment systems, influencing platform strategy and engineering decisions. Collaborate across data science, engineering, security, and product teams to enable reliable, scalable, and responsible ML adoption.

Role Description & Responsibilities

• Serve as the technical lead for ML platform architecture: system design, scalability, performance, and reliability
• Architect and build ML platform services: training/compute infrastructure, feature stores, model registries, inference runtimes, and data pipelines
• Drive architecture for distributed systems, cloud-native frameworks, and automated MLOps workflows
• Evaluate and integrate emerging ML platform technologies and best practices
• Design and implement MLOps pipelines for experiment tracking, data/model versioning, CI/CD for ML, automated retraining, and model governance
• Implement reproducible training, validation, deployment, and lifecycle management across environments
• Build monitoring and observability for model performance, data quality, drift detection, and inference reliability
• Build and optimize cloud-based ML infrastructure on Azure, AWS, or Google Cloud using Kubernetes, containerization, and infrastructure-as-code
• Develop scalable batch and streaming data pipelines using modern data engineering tools and frameworks
• Embed security, compliance, responsible AI principles, and cost optimization into ML platform operations
• Enable scalable, reusable, self-service platform capabilities with data scientists
• Partner with security/compliance/governance teams to ensure safe and compliant AI/ML deployment
• Mentor engineers, set standards, and contribute to documentation and best practices

Benefits

• Comprehensive technology setup (laptop, monitors, headset, keyboard, mouse)
• Monthly connectivity reimbursement for employees eligible to work from home
• Reliable home office requirements (private workspace, appropriate desk/seating, minimum internet speeds)
• Compensation: $110,000.00–$181,025.00 annually, based on experience and qualifications