AI Engineer
AI Engineer
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1 Vacancy
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 managers 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.
Employment Type
Full-time
