AI-Engineer

• Posted 60+ days ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • Apache Spark
  • Streaming
  • PySpark
  • Unix
  • Shell Scripting
  • Databricks
  • R
  • scikit-learn
  • NumPy
  • Pandas
  • TensorFlow
  • Keras
  • PyTorch
  • MySQL
  • Teradata
  • SQL
  • MongoDB
  • Database
  • Redis
  • Business Intelligence
  • Microsoft Power BI
  • Splunk
  • Dynatrace
  • Elasticsearch
  • Cloud Computing
  • Microsoft Azure
  • Generative Artificial Intelligence (AI)
  • Natural Language Processing
  • Artificial Intelligence
  • Autogen
  • Prompt Engineering
  • Workflow

Summary

AI-Engineer

Core Technical Skills
  • Proficiency in Generative AI, NLP, LLM tuning (Open AI preferably), Agents (langgraph, Llama Index, Autogen), GPT functions, Prompt Engineering, Agentic workflows
  • Experience in: Python, Spark, Structured streaming, Pyspark, SQL, Unix (Shell scripting), Databricks, Azure, R(optional)
  • Packages: Scikit-Learn, NumPy, Pandas, TensorFlow, Keras, pytorch
  • Database: Mysql, Teradata, No-sql (Mongo preferably), In memory db (Redis preferably)
  • Business Intelligence: Power BI (optional)
  • Experience with observability tools like Splunk, Dynatrace, Elastic Search (Preferred)
  • Experience in working with cloud technologies (Azure mandatory)
  • Proficiency in Generative AI, NLP, LLM tuning (Open AI preferably), Agents (langgraph, Llama Index, Autogen), GPT functions, Prompt Engineering, Agentic workflows
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: RTL155990
  • Position Id: 630d8edb95d3c52b0052d8a2e6791dff
  • Posted 30+ days ago
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