onsite
Lead AI Engineer - Dentsu
AI Engineer
Lead AI Engineer driving end‑to‑end AI solution development, from requirement analysis to production deployment, ensuring high code quality, security, and scalability using Python, ML/DL frameworks, and robust DevOps practices.
About the role
Key Responsibilities
- Own the full software development lifecycle for AI applications, including requirements analysis, design, coding, unit testing, and documentation.
- Architect reusable, maintainable codebases that support long‑term scalability and performance.
- Identify and mitigate security, usability, and performance risks early, proposing effective remediation strategies.
- Lead cross‑functional teams, providing technical guidance and fostering best practices in AI model development and deployment.
- Drive continuous improvement of development processes, tooling, and CI/CD pipelines to accelerate delivery and maintain quality standards.
Requirements
- Extensive experience (5+ years) in AI/ML engineering with a strong background in Python and deep learning frameworks (TensorFlow, PyTorch).
- Proven track record of designing and deploying production‑grade AI systems at scale.
- Deep understanding of software architecture, design patterns, and DevOps practices for AI workloads.
- Excellent problem‑solving skills, with a proactive approach to identifying and resolving technical challenges.
- Strong communication skills and ability to mentor junior engineers and collaborate with stakeholders.
Skills
pythonmachine learningdeep learning