INTL - AI Engineer - India

Overview

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 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
• 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.

• Python Proficiency
• API Utilization
• Databricks

• Git & Git Hub: knowledge of Git workflows (branching, pull requests, code review) and experience collaborating on shared codebases.

• Data Visualization:
  Ability to create dashboards and visualizations (Matplotlib, Seaborn, Power BI, or Databricks visualization tools).
• Presentation
  
  Skills:
  
  Comfortable presenting findings and recommendations

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• Software engineering background/ data engineering (one focus on software one focus on data)
• Full stack understanding
• Ability to troubleshoot, debug, etc.
• Python
• gen AI
• Databricks
• Cloud - they use azure but any cloud is fine
• Machine learning
• Agentic experience
• Langraph is a huge plus