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EI

Data Engineer

Expert In Recruitment Solutions
๐Ÿ‡บ๐Ÿ‡ธ United States
On-site
Mid level
4 months ago
  • AI/ML
  • Large Language Models
  • Machine Learning
  • AI
  • ETL
  • AWS
  • Python
  • PySpark
  • Azure
  • RAG
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Data Engineer
Hybrid Malvern, PA

Responsibilities
  • We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.
  • Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
  • Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
  • Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
  • Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
  • Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
  • Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
Qualifications
  • Around 5-8 years of relevant work experience (Machine Learning Engineering).
  • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
  • Robust understanding of cloud technologies, including AWS and Azure.
  • Experience with API design and development is a plus.
  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.

Data Engineer ยท Expert In Recruitment Solutions

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