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Tier-1 employer, popular ML role, and metro hybrid location increase candidate competition.
Advanced ML/AI model development and deployment demands strong domain-specific backgrounds.
Multiple mandatory ML/AI tool and model-management requirements increase filter rigidity.
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Lead design, development, and deployment of AI models and algorithms to drive business innovation.
Collaborate with cross-functional teams to define project goals and analyze complex data using machine learning and statistical methods.
Provide technical guidance and mentorship to junior data scientists while optimizing AI solutions for accuracy and efficiency.
Degree required: Bachelor’s in Business Analytics, Computer Science, Statistics or Master’s in Data Science.
Required skills include Artificial Intelligence (AI), Machine Learning, AutoML, Agile methodology, Amazon SageMaker, CI/CD processes.
Language proficiency: English at advanced (C1) level.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading AI model development and implementation in a collaborative, cross-functional environment.
Demonstrates strong technical leadership skills supporting mentorship and knowledge sharing.
Comfortable working in a fast-paced, innovation-driven setting with advanced AI/ML technologies and tools such as Amazon SageMaker and AutoML.