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Tier-1 brand and Bangalore location increase applicant density despite PhD-level specialization.
PhD and specialized ML infrastructure expertise limit transferable candidates across industries.
PhD requirement plus explicit ML infrastructure and programming experience create very strict screening filters.
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Write, test, deploy, and maintain software solutions critical to Google Cloud AI/ML infrastructure and products such as Search and YouTube.
Implement and optimize machine learning models and manage model deployment, evaluation, and data processing workflows.
Collaborate through design and code reviews and contribute to documentation and product issue resolution.
PhD in Computer Science, Electrical Engineering, or related technical field.
At least 1 year experience in speech/audio, reinforcement learning, ML infrastructure, or other ML specialization.
Proficiency in programming languages such as C, C++, Python, Java, or Golang.
Work Experience Required: Minimum 1 year relevant professional experience as specified. Notice period: Not explicitly mentioned in the JD.
Experienced in ML infrastructure with practical skills in model deployment and optimization.
Strong algorithm and data structure knowledge, preferably with 2 years experience or research background.
Research-oriented with demonstrated success in publishing peer-reviewed AI/ML or systems papers in top conferences or journals.