Lead Machine Learning Engineer

Job Description: 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. Job 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. Education: Bachelor's or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. GlobalLogic estimates the starting pay range for this role to be performed Remotely and the salary range will be $140,000/yr to $150,000/yr and reflects base salary only. This pay range is provided as a good faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. What We Offer Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies. Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home. Professional Development: We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges. Excellent Benefits: We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, flexible spending accounts, and PTO and holidays. About GlobalLogic: GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business. Show more Show less