Media · Telecom + media
Currently tracking 25 active AI roles, up 183% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $115k–$451k (avg $239k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer 4 Senior Machine Learning Engineer responsible for leading the technical design, delivery, and architectural ownership of ML systems and platforms, with a focus on LLM-powered systems and agent development. The role involves driving technical strategy, defining best practices, and improving system reliability and scalability. | AgentServe | 8 |
| Engineer 2 - Machine Learning This role focuses on implementing, training, and deploying machine learning models for consumer products. It involves designing data pipelines, documenting technical aspects, and contributing to research for future product development. The position also includes evaluating ML solutions and creating proof-of-concept strategies. | Post-train |
| 7 |
| Engineer 2 - Machine Learning This role focuses on implementing, training, and deploying machine learning models for consumer products. It involves designing data pipelines, documenting technical aspects, and contributing to research for future product development. The position also includes evaluating ML solutions and creating proof-of-concept strategies. | Post-trainServe | 7 |
| Development Engineer 4 This role involves designing and customizing software applications, with a focus on AI Ops platforms and automation solutions leveraging cloud services (AWS, Google Cloud). The engineer will work with LLMs, prompt engineering, and agent frameworks, develop IAC solutions, and collaborate with stakeholders to meet business needs. Responsibilities include leading development, evaluating cloud solutions, mentoring junior staff, and ensuring software reliability and documentation. | Agent | 7 |
| Engineer 4, Machine Learning N-E084660-0533-CIEC This role focuses on directing advanced machine learning projects for decision automation and pattern recognition, involving goal setting, prototype design, research leadership, solution management, documentation, and mentoring. It requires high-level ML expertise and innovation. | Serve | 7 |
| Engineer 3 - Machine Learning Develops and deploys machine learning algorithms, trains models, validates accuracy, and deploys them into production. Also involved in data pipelines, research, and testing solutions. | ServePost-train | 7 |
| Data Scientist 3 This role focuses on developing decision-support technologies for Supply Chain planning and network optimization, leveraging Operations Research, mathematical optimization, and simulation. It also involves building and validating ML models for forecasting, classification, and decision-making, complementing core optimization solutions. The candidate will work with a US-based Data Science team to drive improvements and support technical design. | DataPost-train | 7 |
| Development Engineer 4 This role involves leading the strategic development and implementation of an AI Ops platform and software development solutions, with a focus on leveraging LLMs, prompt engineering, and agent frameworks. The engineer will develop and evaluate software solutions in public and private cloud environments, with experience in data engineering and IAC. | AgentData | 7 |