W2 Machine Learning Engineer
W2 Machine Learning Engineer
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Job Description
Title: Machine Learning Engineer
Location: NYCNY or PhoenixAZ (HYBRID)
Duration: Contract (W2 Only)
Job Description
Must Have Skills:
Python 95%
Priority will be Gen AI- not tied to specific LLM
highly regulated industry - banking or healthcare is ideal
can come from a software or data bg as long as they have upskilled into AI
use case ex / look at regulation and extract what amex needs to do to be compliant. Audit is happening - use Gen AI to summarize the report
the team does 2nd line and 3rd line (compliance and internal audit)
Job Description:
Were looking for a forward-thinking AI Solutions Engineer with deep expertise in Generative AI to join our team. This role is ideal for someone who has transitioned from a software or data background into AI and is passionate about applying cutting-edge technologies in highly regulated industries such as banking or healthcare.
Youll work on impactful use cases-like using Gen AI to extract compliance requirements from regulations or summarize audit reports-to help drive intelligent automation and decision-making across the organization.
Key Responsibilities:
Design build and deploy AI/ML models with a focus on Generative AI LangChain and NLP.
Develop solutions that are not tied to a specific LLM allowing flexibility and innovation.
Integrate AI/ML capabilities into existing applications in both batch and real-time environments.
Collaborate with cross-functional teams to identify opportunities for AI-driven automation and compliance support.
Write clean efficient Python code; Java experience is a plus.
Create and maintain detailed documentation including model specs data dictionaries and code annotations.
Optimize and manage data pipelines using SQL (Hive/PySpark); NoSQL experience is a plus.
Leverage GitHub and CI/CD pipelines for streamlined development and deployment.
Navigate AI/ML governance processes especially within regulated environments.
Stay current with emerging AI technologies and best practices.
Qualifications:
Bachelors or higher degree in Data Science Computer Science Information Systems Engineering or a related field.
Hands-on experience with Generative AI LangChain NLP and traditional ML algorithms.
Strong understanding of software architecture AI frameworks and libraries.
Experience in regulated industries (banking or healthcare) is highly preferred.
Familiarity with Big Data ecosystems and cloud platforms (AWS Azure GCP) is a plus.
Excellent verbal and written communication skills.
What Were Looking For:
A creative problem-solver who can translate complex regulations into actionable AI solutions.
Someone who thrives in dynamic environments and is comfortable working across disciplines.
A self-starter whos passionate about responsible AI and its real-world applications.
Please share your Updated Resume at
Employment Type
Full-time
