AI Prompt Engineer at Data Meaning

Posted on (20 days ago)

Colombia
United States
Remote

Industry: IT Services and IT Consulting

Job Type: Full-time

Experience Level: Mid-Senior Level

Job Description

Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and LATAM. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management.

Responsibilities

  • Write clear and specific instructions for NLP models to follow
  • Use interactive techniques to refine models and responses
  • Employ iterative design methodologies to continually improve model performance and accuracy
  • Design and implement efficient embeddings and prompt engineering solutions
  • Collaborate with cross-functional teams, including product managers and software engineers, to ensure prompt generation is integrated seamlessly into our software products
  • Stay up to date with the latest developments in NLP and machine learning technologies and integrate them into our development process

Requirements

  • BS or MS in Computer Science, Computational Linguistics, or a related field, or equivalent real-world experience
  • Knowledge of vector databases such as Pinecone or Milvus with experience in at least one type of database (MSQL/PSQL)
  • Experience with LangChain and Auto-GPT is a plus
  • Familiarity with big data technologies such as Hadoop, Spark, and Hive
  • Proven ability to independently execute projects from concept to implementation and maintain a live product
  • At least 2 years of previous software engineering experience
  • Mid-Level knowledge of command-line interfaces and Python, extending to libraries like TensorFlow, PyTorch, Hugging Face Transformers, and NLTK
  • Proven ability to write clear and specific instructions for NLP models
  • Experience with interactive problem-solving techniques
  • Familiarity with iterative design methodologies
  • Strong problem-solving and analytical skills
  • Solid knowledge of data structures, data formats, and data modeling
  • Work-level proficiency in English