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.