Machine Learning Engineer/AI Engineer- Insurance Domain Position Available In Hudson, New Jersey

Machine Learning Engineer/AI Engineer- Insurance Domain

Required Qualifications:

3+ years of experience in AI/ML engineering, with proven deployment of models in production. Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace). Hands-on experience with generative AI technologies (e.g., LLMs, diffusion models, RAG systems). Solid understanding and application of Vector Databases (e.g., FAISS, Pinecone, Weaviate, Milvus). Demonstrated ability to work with application logs, telemetry data, and unstructured documents (e.g., PDFs, text logs). Knowledge of document parsing, entity extraction, summarization, and topic modeling techniques. Familiarity with

AWS AI/ML

tools, particularly Textract, Bedrock, Comprehend, and S3. Experience deploying ML models in containerized environments (e.g., Docker, Kubernetes). Experience in fraud analytics or insurance claims systems. Background in data warehousing and data mart design for BI/reporting use cases. Understanding of MLOps best practices and CI/CD pipelines for model deployment. Exposure to Agile/Scrum development and cross-functional team collaboration
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

10119106

Position Id:

8674112