Machine Learning Engineer

Iris Software Inc.; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading tech company is urgently looking to hire an ML Engineer for a 100% remote opportunity in Newark, NJ. This contract-to-hire position involves designing and deploying machine learning models in Gen AI, requiring an advanced degree in a quantitative field and significant technical skills including Python and AWS SageMaker. Ideal candidates will have experience in insurance or financial services.

Qualifications

• Advanced degree in a quantitative field is required.
• Hands-on experience with RAG and LLM fine-tuning is essential.
• Production-level experience with AWS SageMaker is necessary.

Responsibilities

• Design, build, and deploy machine learning models.
• Lead end-to-end ML projects including data ingestion and transformation.
• Collaborate with teams to implement AI solutions.

Skills

RAG

LLM fine-tuning

statistical modeling

XGBoost

Random Forest

AWS SageMaker

Python programming

ETL

Education

Master's or PhD in Statistics, Computer Science, Data Science

Job description

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Direct message the job poster from Iris Software Inc.

IRIS direct end client which is one of the Fortune 500 company and an international life insurance and financial services firm is urgently looking to hire ML Engineer – Newark, NJ (100% Remote). This is a Contract opportunity.

100% Remote

Nature of Contract – Contract to Hire

Overview

Senior positions for ML engineering work on Gen AI, RAG systems, and model deployment in a contract-to-hire arrangement.

Required Qualifications & Experience

• Advanced degree (Master's or PhD) in Statistics, Computer Science, Data Science, or a related quantitative field.

Must-Have Technical Skills

• Proven, hands-on experience with RAG, LLM fine-tuning, and agentic frameworks.
• Expert knowledge of statistical modeling, with significant project experience using tree models (e.g., XGBoost, Random Forest) and other ML techniques.
• Production-level experience with AWS SageMaker.
• Exceptional Python programming skills for data manipulation and model development.
• Strong ability to perform data transformation, ETL and work with historical data for model training.

Industry Experience (2-3 projects minimum)

• 1st Preference: Insurance, Retirement/Pension, or Financial Services.
• 2nd Preference: Publishing or EdTech.

Key Responsibilities

• Design, build, and deploy robust machine learning models and Gen AI applications (e.g., advanced RAG systems, LLM fine-tuning).
• Lead end-to-end ML projects, from data ingestion and transformation through to model training, evaluation, and MLOps integration.
• Conduct whiteboard and hands-on coding sessions to architect and problem-solve complex data and model challenges.
• Collaborate with cross-functional teams to productionize AI solutions that deliver measurable business impact.

Next steps

Looking forward to hear from you!

About Iris Software

Iris Software

200 Metroplex Drive, Suite #300

Edison, NJ 08817

Mail: [e-mail] | www.irissoftware.com