Related skills
terraform github actions python tensorflow pytorch📋 Description
- Lead a software engineering team on AI/ML features.
- Build and productionize ML models for product features.
- Define strategy and roadmap for AI foundations and platforms.
- Mentor engineers; manage performance; foster growth.
- Collaborate with Data Science, Product, Architects, and Directors.
- Drive agile delivery; code reviews; cross-functional alignment.
🎯 Requirements
- 8+ years software engineering; 3+ years leading teams.
- Strong SDLC and ML lifecycle knowledge.
- Python preferred; Java/C# also okay.
- Proficient in OOP, concurrency, microservices, REST, TDD.
- ML frameworks: TensorFlow, PyTorch, scikit-learn.
- Cloud/IaC: Terraform, GitHub Actions; Kubeflow/Vertex AI familiarity.
- Leadership: hiring, coaching, performance mgmt.
🎁 Benefits
- Collaborative, growth-focused AI engineering team.
- Leadership development and mentoring opportunities.
- Inclusive workplace; Equal Opportunity Employer.
- Travel limited to other offices.
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