Back
Mid-level ML generalist role in metro with broad skills and known agency brand increases competition.
Core Python, SQL, cloud, and ML skills are broadly transferable across industries.
No explicit years but multiple required technologies and cloud skills, moderate filtering applied.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain data pipelines and ETL/ELT processes using Python and SQL, including data cleaning, transformation, and validation.
Support AI/ML feature implementation by integrating with LLM APIs, assisting prompt design, and testing AI outputs.
Assist in deploying and managing data and AI workloads on Azure, supporting cloud resource configuration, API integration, and basic database development tasks.
Strong foundation in Python and SQL for data processing and query optimization.
Familiarity with APIs, backend systems, and application integration including API testing and debugging.
Exposure to cloud platforms, preferably Azure, with ability to assist in deployment and monitoring of workloads.
Work Experience Required: Not explicitly mentioned in the JD.
Operates effectively in a guided, team-oriented environment under a Lead Full Stack Engineer, focusing on execution and delivery.
Has working knowledge of AI/ML concepts with practical experience in integrating LLM-based tools and basic AI-powered application features.
Comfortable supporting cloud-native backend systems and experimenting with data engineering and AI workloads on Azure, including observability and compliance aspects.