Senior Machine Learning Engineer

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This position reports to

Principal AIML Lead

Your role and responsibilities

In this role, We are seeking a highly skilled and experienced Senior ML Platform Engineer to lead the design, development, and maintenance of our cutting-edge machine learning infrastructure. The ideal candidate will be responsible for creating a robust, scalable platform that supports both traditional machine learning and generative AI applications. The work model for the role is hybrid #LI-Hybrid This role is contributing to the Corporate Advanced Analytics team in Bangalore. This role reports to Principal Data Science Lead. You will be mainly accountable for: • The role involves designing and architecting a comprehensive ML platform that seamlessly integrates both traditional machine learning and generative AI workloads. • You will be responsible to develop scalable, secure, and highly performant infrastructure capable of handling diverse ML/AI use cases. • You will be tasked with developing and maintaining end-to-end MLOps pipelines, as well as designing continuous integration and continuous deployment workflows specifically tailored for machine learning models. • The position requires expertise in cloud-native ML platform design with a preference for Azure, coupled with advanced knowledge of containerization and orchestration using Kubernetes and Docker. • You will be responsible for designing flexible architecture that supports traditional machine learning frameworks, generative AI models (including Large Language Models and Diffusion Models), and framework-agnostic model deployment.

Qualifications for the role

• BE o.r equivalent degree required
• 8+ years of comprehensive experience in machine learning and AI platforms, along with a proven track record of designing and maintaining large-scale ML infrastructures.
• A deep technical understanding is required across multiple domains including machine learning algorithms, generative AI technologies, distributed computing, and cloud infrastructure.
• You should demonstrate expert-level programming skills in languages such as Python, Scala, and Go, complemented by advanced knowledge of ML frameworks including TensorFlow, PyTorch, and Hugging Face.
• Demonstrated experience in mentoring and leading junior data scientists
• Deep knowledge in one or more functional areas such as finance, operations, sales, account management etc.

More about us

ABB Finance is a trusted partner to the business and a world-class team who delivers forward-looking insights that drive sustainable long-term results and operates with the highest standards. We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory It has come to our attention that the name of ABB is being used for asking candidates to make payments for job opportunities (interviews, offers). Please be advised that ABB makes no such requests. All our open positions are made available on our career portal for all fitting the criteria to apply. ABB does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection to recruitment with ABB, even if is claimed that the money is refundable. ABB is not liable for such transactions. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning