AI/ML Engineer Hartford CT

Unclassified - Hartford, CT

Full-time

Hartford, CT

About the position

The AI/ML Engineer position in Hartford, CT, focuses on leveraging advanced Python skills and expertise in machine learning and natural language processing (NLP) to develop intelligent solutions. The role involves working with various AI technologies, including Google Cloud and Azure AI services, to build and manage AI models and systems, particularly in the areas of semantic search and retrieval-augmented generation.

Responsibilities

• Utilize Python for data exploration, analysis, and development using libraries such as Pandas, Matplotlib, and Scikit-Learn.
• Work with Jupyter Notebook for interactive coding and data visualization.
• Implement natural language processing (NLP) techniques using Hugging Face pipelines for tasks like text classification, generation, and entity extraction.
• Develop and manage large language models (LLMs) using frameworks like LlamaIndex or Langchain for semantic search and retrieval-augmented generation (RAG).
• Design and structure prompts for LLMs programmatically using APIs from OpenAI, Vertex AI, or Llama.
• Manage and utilize vector databases like PineCone, Qdrant, Vespa, or Weaviate for efficient similarity search and retrieval.
• Evaluate NLP models using common evaluation metrics, particularly for RAG systems.
• Integrate Azure AI services into CI/CD pipelines for efficient deployment and updates.
• Provision, configure, and manage Azure AI resources, ensuring cost management and security best practices.
• Deploy containerized AI solutions on Azure for scalability and portability.

Requirements

• Strong proficiency in Python, particularly for data analysis and development.
• Experience with data libraries such as Pandas, Matplotlib, and Scikit-Learn.
• Familiarity with Jupyter Notebook for coding and data exploration.
• Expertise in natural language processing (NLP) concepts and techniques.
• Hands-on experience with Hugging Face pipelines for NLP tasks.
• Experience with large language models (LLMs) and frameworks like LlamaIndex or Langchain.
• Ability to design prompts for LLMs using APIs from OpenAI or Azure.
• Knowledge of vector databases for similarity search and retrieval.
• Familiarity with Azure AI services and resource management.

Nice-to-haves

• Experience with Google Cloud AI technologies.
• Familiarity with Azure OpenAI Service and Azure AI Search.
• Understanding of containerization for AI deployments.