AI/ML Developer

Key Responsibilities:

• Python Development: Utilize Python for data exploration, analysis, and development, leveraging libraries such as Pandas, Matplotlib, and Scikit-learn.
• NLP Expertise: Apply a deep understanding of natural language processing concepts, utilizing Hugging Face pipelines for tasks including text classification, generation, and entity extraction.
• LLM Frameworks: Build and implement semantic search, retrieval-augmented generation (RAG), and hybrid search systems using frameworks like LlamaIndex or Langchain.
• Prompt Engineering: Design and structure effective prompts for LLMs programmatically using APIs from OpenAI, Vertex AI, or Llama, and demonstrate familiarity with common prompt engineering patterns.
• Vector Databases: Leverage experience with vector databases such as PineCone, Qdrant, Vespa, or Weaviate to enhance similarity search and retrieval capabilities.
• NLP Evaluation: Utilize and understand common metrics for evaluating the performance of NLP models and RAG systems, particularly in retrieval and generation tasks.
• Collaboration: Work closely with cross-functional teams to integrate AI solutions into existing workflows.

Qualifications:

• Minimum of 4 years of experience in AI/ML development.
• Strong proficiency in Python and its data manipulation libraries.
• Proven expertise in NLP and experience with Hugging Face.
• Hands-on experience with LLM frameworks such as LlamaIndex or Langchain.
• Familiarity with vector databases and experience in similarity search.
• Knowledge of NLP evaluation metrics and best practices.
• Nice to have: Experience with Terraform for infrastructure management.