AI/ML Engineer

Hybrid in Malvern, PA, US • Posted 8 hours ago • Updated 8 hours ago

Contract W2

On-site

Depends on Experience

Fitment

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Job Details

Skills

Artificial Intelligence
Amazon SageMaker
Generative Artificial Intelligence (AI)
Prompt Engineering
Python
Large Language Models (LLMs)
PySpark
Machine Learning (ML)
Amazon Web Services
TypeScript

Summary

Experience in software engineering, data engineering, or machine learning engineering.
Build, deploy, and support AWS applications using services like Lambda, S3, Glue, ECS/EKS, Step Functions, SageMaker, and Bedrock.
Create and automate complete data and machine learning pipelines using tools like Spark/PySpark, Glue, Airflow, or dbt.
Develop solutions using Large Language Models (LLMs), including writing prompts, testing results, and integrating them into workflows.
Work with Generative AI techniques such as RAG, context handling, fine-tuning models, and building AI agents with tools and workflows.
Strong hands-on experience with AWS services in real production environments.
Very good knowledge of Python, PySpark, and SQL.
Experience building and automating data pipelines and ML workflows.
Understanding of traditional machine learning techniques like regression, classification, clustering, and decision trees, along with data analysis.
Practical experience working with LLMs and Generative AI (prompt engineering, RAG, AI agents). Experience with chatbots or conversational AI systems.
Knowledge of Reinforcement Learning. Experience with PySpark.
Familiarity with TypeScript.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: 8868672
Posted 8 hours ago

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AI/ML Engineer

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Job Details

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