Related skills
azure aws python gcp ci/cd📋 Description
- Lead and grow AI/ML engineering team; set technical direction.
- Architect scalable production AI systems on AWS/Azure/GCP.
- Define roadmaps for AI/ML projects aligned with business goals.
- Drive ML lifecycle: MLOps, CI/CD, model monitoring.
- Collaborate with product managers and data scientists to translate requirements.
- Stay at the forefront of AI, including LLMs and agentic AI.
🎯 Requirements
- Proven experience leading AI/ML teams in SaaS/enterprise software.
- Drive ML lifecycle: MLOps, CI/CD for ML, governance.
- Experience architecting and deploying scalable AI systems on AWS/Azure/GCP.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI.
- Proficiency in Python and modern software practices (testing, code review, CI/CD).
- Experience with Spark and large-scale data processing.
- Excellent communication and stakeholder management.
🎁 Benefits
- Autonomy to shape AI strategy and build a world-class team.
- Opportunity to work on cutting-edge AI impacting global enterprises.
- Collaborative, diverse, inclusive culture.
- Strong career growth and leadership development.
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