Responsibilities
- Develop and deliver machine learning and artificial intelligence solutions across diverse projects, including traditional ML systems, generative AI, and agent-driven models.
- Lead the full lifecycle of AI solutions, from design through deployment and continuous enhancement, emphasizing robust, production-grade systems.
- Create and implement machine learning models and AI-powered applications, with emphasis on generative and agent-based technologies.
- Collaborate with data and AI platforms to construct, integrate, and optimize models, ensuring scalability, maintainability, and alignment with business objectives.
- Select and apply suitable machine learning, generative AI, or agent-based methods based on specific challenges, while extending and improving current AI systems.
- Support end-to-end delivery of AI solutions using MLOps and LLMOps practices such as model versioning, deployment pipelines, monitoring, and iterative refinement.
- Deliver effective, high-performing AI solutions that generate tangible business impact.
