Position: Senior Generative AI Engineer (Python & LLMs)
Location: Woonsocket RI *Day 1 Onsite
| | Minimum of 2 years of hands-on experience working with deep learning models in NLP Python Generative AI (GenAI) and AI-related technologies. Overall 6 years of experience in software development data analytics or data science. Write efficient well-documented Python code for building fine-tuning and deploying LLM-based applications. Strong understanding of deep learning techniques architectures and best practices. Solid knowledge of large language models (LLMs) and their real-world applications. Experience delivering GenAI-based projects including: Prompt engineering techniques Vector databases for storing and retrieving model-driven data Hands-on experience with orchestration frameworks such as LangChain or similar tools. Demonstrated Python expertise with strong experience using: TensorFlow PyTorch Hugging Face Transformers Implementation and optimization of deep learning models for use cases such as: Text classification Sentiment analysis Summarization Familiarity with rapid application development frameworks including: Streamlit FastAPI Flask Experience deploying and scaling machine learning models on cloud platforms such as Azure or GCP. Knowledge of agentic architectures and multi-agent patterns (e.g. AutoGen or similar frameworks). Healthcare domain knowledge preferred. Desirable Skills: Skills: Digital : PythonAI & Gen AI - Products & Tools Experience Required: 10 & Above |
Position: Senior Generative AI Engineer (Python & LLMs) Location: Woonsocket RI *Day 1 Onsite Minimum of 2 years of hands-on experience working with deep learning models in NLP Python Generative AI (GenAI) and AI-related technologies. Overall 6 years of experience in software developm...
Position: Senior Generative AI Engineer (Python & LLMs)
Location: Woonsocket RI *Day 1 Onsite
| | Minimum of 2 years of hands-on experience working with deep learning models in NLP Python Generative AI (GenAI) and AI-related technologies. Overall 6 years of experience in software development data analytics or data science. Write efficient well-documented Python code for building fine-tuning and deploying LLM-based applications. Strong understanding of deep learning techniques architectures and best practices. Solid knowledge of large language models (LLMs) and their real-world applications. Experience delivering GenAI-based projects including: Prompt engineering techniques Vector databases for storing and retrieving model-driven data Hands-on experience with orchestration frameworks such as LangChain or similar tools. Demonstrated Python expertise with strong experience using: TensorFlow PyTorch Hugging Face Transformers Implementation and optimization of deep learning models for use cases such as: Text classification Sentiment analysis Summarization Familiarity with rapid application development frameworks including: Streamlit FastAPI Flask Experience deploying and scaling machine learning models on cloud platforms such as Azure or GCP. Knowledge of agentic architectures and multi-agent patterns (e.g. AutoGen or similar frameworks). Healthcare domain knowledge preferred. Desirable Skills: Skills: Digital : PythonAI & Gen AI - Products & Tools Experience Required: 10 & Above |
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