Opportunity Description
Job Description
A customer is looking for seasoned AI engineers – one with a software focus and one with a data focus. They will be developing a platform using fast APIs, python and langraph and integrating with cloud technologies.
Data Engineering & Management
• Data Wrangling: Proficiency in cleaning, transforming, and merging large, diverse datasets (CSV, SQL, APIs, Excel, etc.).
• Databricks Experience: Hands-on experience with Databricks notebooks, clusters, and workflow orchestration.
• ETL Pipelines
2. Analytics & Forecasting
• Statistical Analysis: knowledge of statistics, time series analysis, and forecasting techniques (ARIMA, Prophet, etc.).
• Machine Learning: Experience building, training, and validating predictive models.
• GenAI Integration: Familiarity with generative AI frameworks, prompt engineering, and agentic workflows for automating analytics tasks.
3. Programming & Automation
• Python Proficiency
• API Utilization
• Databric...
A customer is looking for seasoned AI engineers – one with a software focus and one with a data focus. They will be developing a platform using fast APIs, python and langraph and integrating with cloud technologies.
Data Engineering & Management
• Data Wrangling: Proficiency in cleaning, transforming, and merging large, diverse datasets (CSV, SQL, APIs, Excel, etc.).
• Databricks Experience: Hands-on experience with Databricks notebooks, clusters, and workflow orchestration.
• ETL Pipelines
2. Analytics & Forecasting
• Statistical Analysis: knowledge of statistics, time series analysis, and forecasting techniques (ARIMA, Prophet, etc.).
• Machine Learning: Experience building, training, and validating predictive models.
• GenAI Integration: Familiarity with generative AI frameworks, prompt engineering, and agentic workflows for automating analytics tasks.
3. Programming & Automation
• Python Proficiency
• API Utilization
• Databric...