Optimize Client's API Portfolio by leveraging AI and Analytics to categorize and classify the existing API Portfolio and predict efficacy and economy of newly created APIs
Requirements
- Proficiency in Python, R, and SQL for data preparation, querying and model development
- Tool proficiency with visualization tools such as Tableau and PowerBI to communicate insights effectively
- Hands-on experience with GCP Vertex AI, BigQuery, TensorFlow, PyTorch
- Hands-on experience with vector databases like Vertex AI Vector Search or Cloud SQL
Responsibilities
- Perform data analysis by applying statistical techniques to interpret datasets, identify patterns, form insights relevant to business questions, and predict outcomes
- Translate complex software architecture problems into high-level AI and analytics solutions
- Communicate findings through concise reports, charts, data visualizations, and storytelling to both technical and non-technical stakeholders
- Define and integrate key data sources (design-time and run-time API and Service analytics) to deliver predictive and generative AI models
- Model development- design, build, train, and validate predictive ML models and generative AI solutions using Python, R, and SQL
- Develop custom pipelines for data ingestion, embedding generation and indexing in vector databases
- Data analysis centers on API and microservice architecture patterns so knowledge of application architecture is valuable in this role
Other
- Bachelors degree
- Robust analytical skills with attention to detail and a rigorous problem-solving approach
- Location: Telecommute
- Job type: Contract
- Work hours: 8am to 5pm
