Lead AI & Machine Learning Engineer | Brookfield, IL, USA | Remote
Title: Lead Machine Learning/AI Engineer
Location: Remote
Compensation: $160,000-195,000 (based on experience)
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.
Apply tot his job
Apply To this Job
Location: Remote
Compensation: $160,000-195,000 (based on experience)
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.
Apply tot his job
Apply To this Job