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Data Engineer; Machine Learning

Job in Austin, Travis County, Texas, 78716, USA
Listing for: ChatGPT Jobs
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 30 - 40 USD Hourly USD 30.00 40.00 HOUR
Job Description & How to Apply Below
Position: Data Engineer (Machine Learning)

Job Description

Title: Data Engineer (Machine Learning)

Company: Diligent Tec Inc

Location: Austin, TX (Remote)

Remote Availability: Yes (100% Remote)

Salary: $30 - $40/hr

Type: Contractor

Posted: 16 hours ago

Duration: Long Term Contract (2+ years)

Role Overview

The team builds data and machine learning services for advertiser sellers, helping them optimize ad budgets and campaign goals by recommending the right inventory, keywords, budgets, and bids, and continuously improving campaign performance. This is a high-growth area with strong business impact and involves working with massive datasets and applied data science techniques.

Key Responsibilities
  • Collaborate with Applied Researchers, Engineers, Analytics, and cross-functional teams to deliver end-to-end production-ready solutions
  • Design and implement scalable data pipelines to collect, process, and analyze large datasets
  • Integrate and deploy ML models into production systems
  • Perform deep data analysis to identify trends, interpret experimentation, and size opportunities in the advertising domain
  • Translate complex datasets into clear, actionable recommendations for both technical and non-technical stakeholders
  • Build dashboards to monitor system and business performance
Must-Have Skills
  • Building data pipelines and dashboards
  • Implementing and deploying ML models
  • Strong dataset analysis and ability to provide actionable insights
  • Excellent communication skills and ability to work with business partners across all levels
  • Active participation in team discussions and solutioning
Requirements
  • BS/MS in Computer Science or equivalent experience
  • Experience with big data tools:
    Spark, Hadoop
  • Strong knowledge of databases: SQL, No

    SQL
  • Good understanding of machine learning applications
  • Strong programming skills: SQL, Python, Scala, or Java
  • Experience solving data science problems and deploying models into production for evaluation
  • Strong analytical skills in large dataset analysis, data mining, segmentation
  • Data visualization experience (Tableau/Kibana) is a plus
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