Machine Learning Engineer

Title: Machine Learning Engineer


Location: Smithfield, RI


Duration: 12+ months


USC and GC


MLOps, model training & deployment, feature engineering, Python/Java, GenAI (LLMs, LangChain, RAG, prompt engineering, fine-tuning), FastAPI/Flask, and AWS (SageMaker, EC2, EKS, Snowflake/RDS).


This is part MLOPs, part Machine Learning Engineer.


MUST HAVE: MLOps, Model deployment, Model training, and Feature Engineering, python coding experience, Lang, AWS.

Machine Learning Engineer



The Role
The Workplace Investing AI (Artificial Intelligence) Delivery Engineering Chapter team is seeking a Machine Learning Engineer to design, implement and improve technical solutions for Gen AI solutions including RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting and API (Application Programming Interface) development. We are looking for an outspoken technologist with a deep passion for data and application design to help build AWS (Amazon Web Services) based AI solutions. This role needs hands-on work developing APIs and integrate with ML models, partnering with our data scientists.



The Expertise and Skills You Bring

• Solid 5+ years hands on development as Machine Learning Engineer.
• Strong programming skills in Python and Java.
• Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering and Fine tuning.
• Solid experience with developing python-based APIs needed (FastAPI / Flask).
• Design and develop machine learning and deep learning systems using ML (Machine Learning) algorithms / frameworks.
• Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.

• Work with data to create models and perform statistical analysis, train and retrain models to optimize performance.
• Run machine learning tests and experiments.

• Bachelor's Degree or equivalent experience.