onsite
Technical AI Manager - zentechwave
Software Engineer
Lead end‑to‑end AI initiatives, designing, deploying, and scaling LLM‑based solutions while coordinating cross‑functional teams to align technology with business goals.
About the role
Key Responsibilities
- Architect, develop, and deploy AI and ML solutions, including large language models and generative AI applications, ensuring high performance and reliability.
- Collaborate with Product, Engineering, and Data Science teams to translate business requirements into technical specifications and scalable AI products.
- Oversee the full AI lifecycle—data acquisition, model training, validation, deployment, monitoring, and continuous improvement.
- Lead and mentor a multidisciplinary AI team, fostering a culture of innovation, best practices, and knowledge sharing.
- Manage project timelines, budgets, and resource allocation, ensuring on‑time delivery and alignment with organizational objectives.
Requirements
- Proven experience leading AI/ML projects, with a strong portfolio of deployed LLM or generative AI solutions.
- Deep technical expertise in machine learning frameworks, model training pipelines, and cloud deployment (e.g., AWS, Azure, GCP).
- Strong leadership and project management skills, capable of guiding cross‑functional teams and driving results.
- Excellent communication skills, able to translate complex technical concepts to non‑technical stakeholders.
- Advanced degree in Computer Science, AI, or related field preferred.
Skills
machine learninggenerative aiproject management