Chief Machine Learning Architect
6 days ago
We are seeking an experienced Chief Machine Learning Architect to lead the development of our AI/ML platform. Based in Bangalore, this role requires a strong background in software design and development, as well as experience in architecting applications or platforms around ML ops, dev ops, and ML Platform.
The ideal candidate will collaborate with multi-functional teams to design, implement, and optimize ML Services and Platform. A successful candidate will be a person who enjoys diving deep into ML infrastructure, doing analysis, discovering root causes, and designing long-term solutions.
As a key member of our AL infra and platform Engineering Service team, you will have the opportunity to design, implement systems end-to-end by helping select the right technologies, and envisioning a long-term architecture. This is a unique chance to work on building AI Platform, AI Ops capabilities to improve operational efficiency and effectiveness of enterprise engineering cloud services - thereby improving customer experience and service resiliency.
Responsibilities:
- Design, implement, and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference
- Implement standard methodologies for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing
- Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment
- Proven ability to deliver products and experience with the full software development lifecycle
- Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence.
- Develop analysis and optimization methods to improve the AI platform Capabilities
Preferred Qualification
- 15+ years of total experience in software development
- Hands-on experience Design, developing and maintaining services on a public cloud platform (e.g., AWS, Azure)
- Strong proficiency in programming languages such as Python, Java and ML frameworks/libraries such as Tensor flow , Pytorch or sci kit-learn
- Solid understanding of software engineering principles, including version control , testing and deployment automation
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