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AI Engineer

AI Engineer

WinaxisJersey City, NJ, United States
3 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Title : AI Engineer ML / NLP pipelines using Databricks, Docker / Kubernetes

Location : Jersey City, NJ 07310. Preferably Jersey City, NJ but open to Whitehouse Station, NJ or Madison Ave, NYC (4 days onsite a week)

Job Description

Business Focus :

Client is heavily investing in AI solutions to transform how underwriting and claims operations are handled. The manager s team is focused on integrating LLMs (Large Language Models), document intelligence , and computer vision into their workflows to automate manual processes and improve decision-making efficiency.

Key Insights from Manager Discussion

AI Use Cases & Vision :

  • The team wants AI models that analyze and extract information from unstructured data , such as claims documents, policies, and underwriting notes.
  • Example use case : Document sifting AI automatically scans and identifies relevant details buried deep in claim files.
  • Image-based AI is another major initiative. For example, customers could upload a photo of a roof , and the AI would analyze the condition and make a renewal recommendation based on that data.
  • Solutions will directly support underwriting, claims, and data science teams , improving operational decision-making and risk evaluation.
  • A 7 8 solution roadmap has been laid out; 4 projects are already in flagship stage and being actively developed.

Technical Requirements from Manager

Core Skills :

  • Hands-on experience with Python for production-level ML code.
  • Strong knowledge of LLMs (OpenAI or similar) and prompt engineering .
  • Experience building and deploying ML / NLP pipelines using Databricks, Docker / Kubernetes, and CI / CD workflows .
  • Familiarity with data platforms like Snowflake and modern orchestration tools (e.g., Airflow, Luigi, DBT).
  • Experience integrating with APIs and data pipelines for real-time data ingestion and processing.
  • Strong understanding of zero-shot / few-shot learning, embedding techniques , and fine-tuning LLMs for business applications.
  • Nice to Have :

  • Exposure to GANs, VAEs , or other generative models.
  • Knowledge of NoSQL databases (MongoDB, ElasticSearch, CosmosDB).
  • Additional languages : R, Go, Scala, C++, or Java.
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    Ai Engineer • Jersey City, NJ, United States

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