AI ML Engineer at global networking leader, shaping ML strategy and building high - performance systems. Innovating with AI technology to enhance network management and develop flagship products.
About the role
- Senior Machine Learning Engineer on the AI Core team designing and deploying ML models for AI-driven applications. Leading projects in machine learning, agentic reasoning, and large-scale systems.
Responsibilities
- Lead the design, development, and deployment of novel agentic systems and core machine learning models
- Execute data analysis, error analysis, and rigorous experimentation to drive model improvements
- Design and implement the end-to-end machine learning pipeline (MLOps)
- Work with large-scale datasets for data wrangling and feature engineering
- Apply machine learning and distributed systems principles in production
- Own ML models and systems through their full lifecycle
Requirements
- 8+ years of professional Machine Learning / AI engineering experience
- 5+ years of experience with advanced Python development
- Bachelor’s degree in Computer Science, Machine Learning, or related discipline, or equivalent practical experience
- Expertise in designing, training, and evaluating Machine Learning models
- Expertise with building agentic systems and leveraging LLMs, retrieval-augmented generation (RAG), and sophisticated prompting techniques
- Proficiency with popular Machine Learning frameworks and MLOps tools
- Strong understanding of data wrangling, feature engineering, and data validation techniques for large-scale datasets
- Proficiency with advanced Python concepts
- Proficiency with unix systems and cloud platforms
Benefits
- Workday Bonus Plan
- role-specific commission/bonus
- annual refresh stock grants
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