Woonsocket RI
Job Description:
>> Design, build, fine-tune, and deploy LLM-based applications using Python
>> Implement and optimize deep learning models for NLP use cases, including text classification, sentiment analysis, and text summarization
>> Develop solutions using prompt engineering techniques
>> Utilize vector databases to store and retrieve model embeddings and AI-generated data
>> Work with deep learning frameworks and libraries such as TensorFlow, PyTorch, and Hugging Face Transformers
>> Apply knowledge of deep learning architectures and techniques
>> Use orchestration frameworks such as LangChain or similar tools
>> Build AI-powered applications using Streamlit, FastAPI, and Flask
>> Deploy and scale machine learning models on Azure and Google Cloud Platform (Google Cloud Platform)
>> Write efficient, well-documented, and maintainable Python code
>> Support CICD pipelines for ML and GenAI deployments
>> Apply knowledge of agentic architectures and multi-agent patterns such as AutoGen or similar frameworks
>> Collaborate with cross-functional teams to design scalable AI systems
Requirements:
>> 6-8 years of overall experience in software development, data analytics, or data science
>> 2+ years of hands-on experience with deep learning, NLP, and Generative AI
>> Strong proficiency in Python
>> Experience in deep learning, Natural Language Processing (NLP), and Generative AI
>> Understanding of large language models and their real-world applications
>> Experience managing AI model lifecycle from development to production
>> Experience deploying AI solutions on Azure or Google Cloud Platform
>> Knowledge of healthcare domain workflows and data
>> Familiarity with agentic and multi-agent AI design patterns
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