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High competition from Tier-1 brand, mid-level experience requirement, and broad AI/cloud skillset.
Medium because ML engineering skills are transferable but consulting managerial experience favors industry background.
High due to explicit five-year requirement and multiple mandatory ML, cloud, and deployment technologies.
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Lead and manage AI and data analytics engineering projects from planning through delivery, ensuring quality and innovation.
Manage client relationships and strategic planning, ensuring project outcomes meet or exceed expectations.
Mentor and develop team members, fostering continuous improvement and technical growth in AI engineering.
Bachelor's Degree mandatory; Master's preferred but not mandatory.
Minimum 5 years of experience in AI engineering or related field.
Experience with AI model design, deployment, and cloud-native microservices (Docker, Kubernetes) beneficial but not explicitly mandatory.
No explicit notice period or onsite location requirements mentioned.
Experienced in leading cross-functional AI projects and client account management in professional services or similar environment.
Strong technical background with hands-on experience in AI/ML model development, cloud deployment (AWS, GCP, Azure), and modern software engineering practices.
Ability to translate complex business problems into AI solutions, and drive team performance through mentorship and coaching.