Machine Learning Engineer

Compunnel Inc.; Dallas (TX); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A tech-focused firm is seeking a Mid-Senior level Machine Learning Engineer in Dallas, TX. The role involves designing ML systems, creating models, and leveraging AI technologies with a strong focus on Python and AWS. Candidates should have over 5 years of relevant experience and a Bachelor's Degree. This position is full-time and hybrid, local candidates are preferred.

Qualifications

• 8+ years of IT experience required.
• 5+ years hands-on development as a Machine Learning Engineer.
• Experience working on Gen AI solutions with Large Language Models.

Responsibilities

• Design and develop machine learning and deep learning systems.
• Create models and perform statistical analysis.
• Run machine learning tests and experiments.

Skills

Python

Machine Learning background

Prompt Engineering

Java

Education

Bachelor’s Degree or equivalent experience

Tools

FastAPI

Flask

AWS

LangChain

LlamaIndex

Sagemaker

Snowflake

RDS

Job description

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