Senior Manager, Engineering AI ML

As a Manager of Engineering (AI/ML) at our company, you will lead a team of ML engineers, data scientists, and software engineers to develop cutting-edge AI/ML solutions that drive business operations and innovation. Your role will involve a combination of technical leadership, strategic thinking, and operational skills to ensure the successful development and implementation of AI/ML models and systems. - Lead end-to-end design, development, and deployment of scalable AI/ML solutions - Coach the team on AI/ML projects, resolve technical challenges, and establish robust MLOps practices - Build solutions using Gen AI techstack, including Langchain, LLM, and RAG - Address business challenges by incorporating advanced technologies into applications To excel in this role, you should have: - 10+ years of overall experience, including 5+ years of leading engineering teams - Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or related field - Proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML - Deep understanding of AI/ML algorithms, frameworks, and technologies - Experience in building and deploying AI/ML models at scale - Knowledge of software engineering best practices, agile development methodologies, and CI/CD pipelines - Familiarity with Generative AI, RAG techniques, NLP concepts, and programming languages such as Python - Experience in a distributed, large-scale, and fast-growing environment is preferred If you have experience in LangChain, it would be considered a bonus. Please note that visa sponsorship is not available for this position. We are committed to fostering a diverse, welcoming, and inclusive environment where all individuals are encouraged to bring their authentic selves to work. Our recruitment process ensures fair consideration of all applicants, including those with arrest and conviction records, in compliance with applicable laws. At our company, we believe in empowering our employees to achieve success through a flexible workforce model, offering options for fully office-based, fully remote, or hybrid work environments. We value the unique backgrounds and abilities of our team members, recognizing the diverse experiences that contribute to our collective success. If you require any accommodations during the application process, please contact resume@newrelic.com. To learn more about our Applicant Privacy Notice, please visit https://newrelic.com/termsandconditions/applicant-privacy-policy.,