Engineering Manager
il y a 4 jours
- AI Application Development: Oversee the design, development, and deployment of AI applications, ensuring alignment with business goals and technical standards.
- Project Management: Manage the end-to-end delivery of AI application projects, ensuring they are completed on time, within scope, and quality. Balance technical leadership with project execution.
- Collaboration & Communication: Work closely with product managers, ML Engineers, and other engineering teams to define requirements, set expectations, and integrate AI features into products.
- Team Leadership & Development: Lead, mentor, and develop a team of engineers focused on building AI applications. Foster a collaborative, inclusive, and innovative work environment.
- Technical Strategy: Contribute to the AI applications strategy, identifying new opportunities to integrate AI into products and improve existing solutions through innovation and optimization.
- AI/ML System Architecture: Provide technical guidance on system architecture, data pipelines, and deployment processes to ensure AI applications are scalable, reliable, and secure.
- Performance Monitoring & Troubleshooting: Define KPIs and establish monitoring frameworks to track the performance of AI applications. Quickly identify and resolve issues in production environments.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field. Advanced degrees in AI or machine learning are a plus.
- Experience: 7+ years of software engineering experience, with at least 3+ years focused on developing production-grade applications. 2+ years of experience in a leadership or management role, with a proven track record of managing engineering teams.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Familiarity with cloud platforms (AWS, GCP, Azure) and deploying AI applications in cloud environments.
- Experience with AI frameworks such as TensorFlow, PyTorch, or Keras, as well as MLOps tools like Kubeflow or MLflow.
- Strong leadership and mentorship abilities, with a passion for developing talent and building high-performing teams.
- Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and the ability to navigate challenges in AI application development.
- Profit Sharing, yearly company saving plan. 25 paid time off + 12 additional paid days off. 50% of your Navigo pass is paid by the company, lunch vouchers (9€/day), healthcare for you and your family, and lots of Ubisoft additional perks. Maternity leaves of 20 weeks, paternity/co-parental leaves of 7 weeks.
- Our brand new office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building. Ability to work remotely.
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