AI Prompt Engineer at Data Meaning
Posted on (2 months ago)
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