Extra Space Storage is looking to build, test, and deploy AI solutions using the Azure AI ecosystem and Python to drive business value.
Requirements
- Proficiency in Python or C-Sharp, with hands-on experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and AI orchestration frameworks (e.g., LangChain, Semantic Kernel).
- Familiarity with Azure cloud services, particularly Azure OpenAI, Azure Machine Learning, Azure Data Lake, and Azure Functions.
- Understanding of data engineering concepts, including ETL/ELT processes, APIs, and SQL.
- Experience with version control systems (e.g., Git) and collaborative development workflows.
- Strong problem-solving and analytical skills to address complex technical challenges.
- Experience with large language model (LLM) APIs and prompt engineering.
- Exposure to MLOps workflows and CI/CD pipelines for AI/ML deployments.
Responsibilities
- Develops and deploys AI models, APIs, and integrations using Python or C-Sharp within the Azure environment.
- Implements data pipelines, feature engineering, and data preparation for AI/ML workloads.
- Utilizes Azure services such as Azure OpenAI, Azure Machine Learning, Azure Data Lake, and Azure Functions to deliver robust solutions.
- Collaborates with senior engineers to implement solution designs that align with business and technical requirements.
- Writes clean, well-documented, and maintainable code, adhering to established coding standards.
- Develops unit tests, integration tests, and participates in peer code reviews to ensure code quality.
- Monitors and maintains AI solutions in production, including troubleshooting and performance optimization.
Other
- Ability to work effectively in a team-oriented environment and communicate technical concepts clearly.
- Commitment to producing high-quality, maintainable code and following best practices.
- 2 years’ experience in AI, machine learning, or software development roles.
- Bachelor’s degree (B.A./B.S.) in Computer Science, Data Science, Artificial Intelligence, or a related field from a four-year college or university (or equivalent in related work experience) is mandatory.
- Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required.
