Lead Machine Learning/AI Engineer

Company Overview

This organization is a specialized team within a global consulting firm, focused on building data-driven SaaS solutions for clients in regulated, data-intensive industries, with a collaborative and growth-oriented culture. The Lead AI & Machine Learning Engineer will drive the end-to-end development and scaling of AI/ML systems, partnering with cross-functional teams to deliver production-ready solutions, advance MLOps capabilities, and bring innovative, AI-powered products from concept to launch.

Key Responsibilities

• Lead end-to-end development, deployment, and maintenance of AI/ML systems from proof-of-concept to production, ensuring seamless integration across teams
• Partner with product, architecture, and cross-functional stakeholders to align technical solutions with business goals
• Provide expertise in AI/ML engineering, including selection and optimization of tools, frameworks, and models
• Build and scale MLOps, LLMOps, and AIOps capabilities
• Drive AI-powered product features from concept to launch
• Review and improve models and code to maintain quality and performance
• Design scalable real-time and batch inference solutions

Required Qualifications

• 10+ years of experience in ML engineering, generative AI, and data science
• Proven track record delivering ML solutions across the full lifecycle (POC to production)
• Strong Python and SQL skills; experience with R or PySpark a plus
• Familiarity with additional languages (e.g., C#, Rust)
• Experience with cloud platforms and distributed computing environments
• Expertise in migrating on-prem systems to cloud-native architectures
• Experience with CI/CD, version control, and infrastructure-as-code (e.g., Terraform)
• Strong understanding of APIs, cloud services, and scalable system design
• Solid software engineering fundamentals (testing, debugging, code quality)

If you meet the qualifications for this role, please apply now! First round interviews are being scheduled now.