Compunnel Inc.
Overview
Job Title:
Machine Learning Engineer - W2 only - we can provide sponsorship as well Duration:
Long Term Location:
Westlake, TX/Smithfield, RI - Local preferred - Hybrid Must Have
Python ML background Prompt Engineering
(manager wants to see how candidates are specifically leveraging this in an AI capacity on the resume) The Expertise and Skills You Bring
8+ years of IT experience required. 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, 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Investment Management
#J-18808-Ljbffr
Job Title:
Machine Learning Engineer - W2 only - we can provide sponsorship as well Duration:
Long Term Location:
Westlake, TX/Smithfield, RI - Local preferred - Hybrid Must Have
Python ML background Prompt Engineering
(manager wants to see how candidates are specifically leveraging this in an AI capacity on the resume) The Expertise and Skills You Bring
8+ years of IT experience required. 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, 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Investment Management
#J-18808-Ljbffr