Description

Design and implement generative AI, data science, and engineering solutions for complex business problems. Own mission-critical architecture and end-to-end data science engagements.

Responsibilities

• Architect and deliver mission-critical solutions using GenAI and machine learning.
• Translate business challenges into technical architectures within the data and AI domains.
• Apply data engineering and analytics workflows to drive measurable business outcomes.
• Manage end-to-end data science engagements, from small-scale prototypes to large-scale enterprise implementations.

Required Skills

• 6+ years of international experience in AI, Analytics, and Data Science.
• Proven expertise in GenAI implementation and solution design.
• Strong background in Data Engineering and Data Analytics.
• Experience delivering solutions for large organizations and mission-critical enterprise systems.
• Ability to manage full-lifecycle data science projects.

Preferred Skills

• Experience with complex, multi-domain data architectures.
• Background in translating ambiguous business requirements into scalable technical specs.

Key Skills

Education

Any Graduate