Lead Machine Learning Engineer

GlobalLogic is a leader in digital engineering, helping brands design and build innovative products and digital experiences. They are seeking a Lead Machine Learning Engineer to lead the design, development, and deployment of scalable software solutions focused on AI/ML capabilities, while providing hands-on technical leadership throughout the software development lifecycle.

Responsibilities:

• Lead the design, development, and deployment of scalable, resilient, and high-performance software solutions with a focus on agentic AI/ML capabilities
• Provide hands-on technical leadership throughout the entire software development lifecycle, from concept and design to testing, deployment, and operational support
• Architect and build full-stack applications and services that operate on an internet scale, ensuring high availability and low latency on modern cloud platforms (AWS, Azure, GCP)
• Drive the technical vision and strategy for AI/ML-powered features and products, translating business requirements into robust technical designs with rapid iteration and incremental delivery
• Mentor and guide a team of software engineers, fostering a culture of technical excellence, innovation, collaboration, speed, and AI-augmented productivity
• Collaborate closely with product managers, data scientists, researchers, and other engineering teams to deliver impactful solutions aligned with business goals
• Leverage AI-assisted development tools and practices to accelerate delivery (GitHub Copilot, Claude Code, LLM-powered workflows)
• Champion best practices in software engineering, including code quality, testing, CI/CD, and DevOps with a pragmatic, outcome-driven approach
• Stay current with emerging technologies and industry trends, particularly in AI/ML, agentic and LLM-based systems, multi-agent architectures, distributed systems, and cloud computing
• Contribute to code reviews, design discussions, and architectural decisions with hands-on involvement in implementation
• Troubleshoot and resolve complex technical issues in production environments

Requirements:

• 10+ years of professional software development experience, with a significant portion in a technical leadership role
• Extensive hands-on experience in designing, building, and operating large-scale, distributed internet services
• Proven experience in developing and deploying agentic AI systems and AI/ML models into production environments. This includes familiarity with the end-to-end MLOps lifecycle and modern LLM-based architectures
• Strong proficiency in multiple programming languages such as Python, Java, Go, Rust, C++ or similar
• Deep understanding of full-stack development, including front-end technologies (e.g., JavaScript, TypeScript, Dart, React, Flutter) and back-end technologies (gRPC, protobuf)
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes) as a primary deployment model
• Advanced Cloud & K8s Infrastructure: Deep expertise in Kubernetes (Helm, ArgoCD), advanced cloud networking (Ingress, Calico), Zero Trust Security (OPA), Service Mesh (Istio/Linkerd), and eBPF (Cilium) for high-performance observability and traffic management
• Solid understanding of database technologies (SQL and NoSQL)
• Demonstrated use of AI productivity tools (GitHub Copilot, Claude, ChatGPT, etc.) to accelerate software development
• Bias for action: proven track record of fast, iterative, incremental delivery over analysis paralysis
• Business outcome orientation: focus on delivering value and measurable results, not just technical outputs
• Excellent problem-solving, analytical, and technical troubleshooting skills
• Strong communication, interpersonal, and leadership abilities
• Ability to thrive in a fast-paced, agile environment with a strong hands-on coding presence
• Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field