Principal Machine Learning Engineer

1 month ago

Bengaluru, India New Relic, Inc. Full time
Principal Machine Learning Engineer Principal Machine Learning Engineer Principal Machine Learning Engineer Req ID FY|R&D|#8 Location(s) Bangalore, India; Work arrangement(s) Hybrid (works from home and New Relic office throughout the week) Your opportunity As a Fellow Engineer at New Relic, you will play a crucial role in exploring new innovations and performing proof of concepts to enhance our AI and machine learning solutions for optimizing and automating IT operations. You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of New Relic’s AIOps platform. What you'll do Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on New Relic’s AIOps platform. Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations. Design, develop, and maintain AIOps solutions that can monitor and analyze IT data in real time, predict incidents, and automate responses. Develop and implement machine learning models for anomaly detection, root cause analysis, leveraging both supervised and unsupervised learning techniques. Implement data processing pipelines that can handle petabytes of data in real-time, leveraging technologies such as Apache Kafka, Apache Flink, and Apache Spark. Develop and maintain custom integrations with third-party IT tools and systems to enhance the AIOps platform’s capabilities. Monitor the AIOps platform’s performance and troubleshoot issues as they arise. Contribute to the documentation and knowledge base to help other teams understand and use the AIOps platform effectively.  What your playground will look like: A constantly evolving architecture, with hundreds of containerized services across multiple agile teams. A hybrid datacenter/cloud environment ingesting over petabytes of data per month, and accepting over billion HTTP requests a day from our customers. Java, Kafka, Istio, Kubernetes, MySQL, Go and that’s just the beginning of the technologies in our stack. This role requires Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field. A minimum of years of software or data engineering experience  3+ years of experience designing and implementing AIOps solutions in a SaaS or cloud environment. Extensive experience in LLMs, AI, and machine learning, with a deep understanding of relevant technologies and tools. Demonstrated experience building AI proof-of-concepts Strong understanding of Observability and the challenges associated with monitoring complex distributed systems. Experience with generative AI techniques, such as GANs and VAEs, and a track record of applying them in practical settings. Passion for continuous learning and staying up-to-date with the latest trends and technologies in the AI and Observability industries. Strong collaboration skills and ability to work effectively with cross-functional teams. Proven track record of delivering results and meeting or exceeding business objectives. Strong written and verbal communication skills. Bonus points if you have Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. 

If you require a reasonable accommodation to complete any part of the application or recruiting process, please visit

Our hiring process

Please note that visa sponsorship is not available for this position.

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

New Relic is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. 

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