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Artificial Intelligence Engineer

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: SPRINTPARK
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Engineer, AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Bengaluru

AT&T – AI Engineer (Data & Software)

Location:

Remote but local to Bangalore

Experience:

5+ years
Duration:  12 months with extensions (long-term)

Hours:

IST with some US meeting crossover

Required Skills & Experience
-API Software Engineer background with Python
-Gen AI project exposure
-Databricks
-Cloud - they use Azure but any cloud is fine
Plus:
-Lang Graph

Job description:

We're 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.

1.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

• Databricks

4. Collaboration & Version Control

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

5. Visualization & Communication

• Data Visualization:
Ability to create dashboards and visualizations (Matplotlib, Seaborn, Power BI, or Databricks visualization tools).

• Presentation

Skills:

Comfortable presenting findings and recommendations
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