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Machine Learning Engineer

Job in Baton Rouge, East Baton Rouge Parish, Louisiana, 70801, USA
Listing for: Iris Software Inc.
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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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 Sage Maker.
  • 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 product ionize 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: b |

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