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machine learning mlops data pipelines sdlc cloud solutions📋 Description
- Define AI adoption strategies and multi-year roadmaps.
- Oversee AI-powered solution design and delivery with product and eng teams.
- Mentor technology leaders; drive excellence in AI engineering and delivery.
- Conduct architecture/design reviews; ensure performance and security.
- Define talent profiles and upskill programs in AI/ML.
- Drive continuous AI innovation and share knowledge.
🎯 Requirements
- 10+ years engineering leadership; cloud, SDLC, DevOps, Agile.
- AI/ML systems: LLMs, MLOps, data pipelines, multi-agent.
- Experience partnering with UX designers and multidisciplinary teams.
- Systems thinker; autonomous across geographies; change management.
- Strong English communication; leadership and storytelling.
- AI tooling proficiency; using AI tools to optimize workflows.
🎁 Benefits
- A High-Impact Environment.
- Commitment to Professional Development.
- Flexible and Collaborative Culture.
- Global Opportunities.
- Vibrant Community.
- Total Rewards.
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