Talantix.io
Remote Position•08.03.26
AI SCORE 8.5

Data Engineer with Machine Learning and Generative AI - Remote

$90K–$130K/year
RemoteAI/Big Data
Python•SQL•AWS•Docker•CI/CD•Machine Learning•Generative AI•Natural Language Processing•Deep Learning•Computer Vision

About the Role

We're hiring a Data Engineer with Machine Learning and Generative AI - Remote to join our innovative team. In this role, you will work with cutting-edge technologies to enhance data solutions for a Fortune 50 client, focusing on improving fan engagement through advanced AI applications.

What You'll Do

  • Design and implement data pipelines using ETL processes to ensure data integrity and accessibility.
  • Utilize machine learning algorithms and generative AI techniques to develop predictive models and enhance data-driven decision-making.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Work with cloud platforms like AWS and tools such as Amazon Bedrock and Google Vertex AI to deploy scalable data solutions.
  • Maintain and optimize data architecture and infrastructure, ensuring efficient data storage and retrieval.
  • Conduct data analysis and visualization to provide actionable insights to stakeholders.
  • Implement CI/CD practices to streamline development and deployment processes.
  • Stay updated on the latest trends in data engineering, machine learning, and AI technologies.

Requirements

  • 3+ years of experience as a Data Engineer, with a strong focus on machine learning and AI applications.
  • Proficiency in programming languages such as Python, C#, and SQL.
  • Experience with data engineering tools and frameworks, including Docker and CI/CD.
  • Familiarity with deep learning frameworks and natural language processing techniques.
  • Strong understanding of data architecture, data modeling, and ETL processes.
  • Experience with cloud services, particularly AWS.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication skills to collaborate effectively with team members and stakeholders.

Nice to Have

  • Experience with large language models and MLOps.
  • Familiarity with computer vision technologies.
  • Knowledge of Agile development methodologies.

What We Offer

  • Remote-first working environment with flexible hours.
  • Long-term contract role (6+ months) with opportunities for extension.
  • Work on exciting projects that leverage the latest in AI and machine learning.
  • Collaborate with a talented team of professionals in a supportive atmosphere.
  • Competitive salary and benefits package.
  • Opportunity to make a significant impact on fan engagement initiatives.
Why This Job8.5 of 10

This remote Data Engineer role offers the chance to work with machine learning and generative AI technologies, enhancing fan engagement for a Fortune 50 client.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and SQL, with hands-on experience in building scalable ETL data pipelines and utilizing AWS services such as Lambda and S3 for data storage and processing.

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Self-motivated and disciplined in a remote work environment, demonstrating strong time management skills to balance multiple projects effectively while collaborating with cross-functional teams via tools like Slack and Jira.

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Deep understanding of machine learning frameworks such as TensorFlow or PyTorch, with practical experience in implementing generative AI models and natural language processing techniques to enhance data-driven insights.

Learning Resources

→Python for Data Engineeringcourse
→AWS Data Engineering: Complete Guidearticle
→Deep Learning for Natural Language Processingcourse

Career Path

Data Engineer with Machine Learning and Generative AI - Remote(Now)→Senior Data Engineer focusing on AI Solutions(1-2 years)→Lead Data Engineer / Machine Learning Architect(3-5 years)

Market Overview

Market Size 2024
$35B
Annual Growth
22.5%
AI Adoption in Data Engineering
62%
Investment in Machine Learning
+45%
Labour Demand for Data Engineers
+30%
Avg Salary for Data Engineers
$120K

Skills & Requirements

Required
PythonSQLAWS
Growing in Demand
Apache SparkTensorFlowData Visualization (Tableau/Power BI)
Declining
Hadoop MapReduceR Programming

Domain Trends

Rise of Generative AI
Generative AI is projected to drive a 40% increase in demand for data engineers skilled in creating and managing AI models by 2025.
Cloud-based Data Solutions
Over 70% of organizations are shifting to cloud-based data solutions, leading to a 50% increase in the need for AWS and Docker expertise among data engineers.
Integration of Machine Learning in Data Pipelines
80% of businesses are integrating machine learning into their data pipelines, emphasizing the need for data engineers with strong ML and NLP skills.

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