5 machine learning engineer jobs at 3 companies in Torrington, CT
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Grand Prairie or Littleton or Orlando or Shelton or Colorado or Connecticut or Florida or Texas
$109k-$217k/yrRemoteFull Time
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
3+ YOEBachelor's in Engineering/Computer Science with 5+ years (or Master's with 3+ years). Significant ML experience (NLP, deep learning, RL), software engineering skills, programming in Python/Typescript/C++/Golang, and U.S. citizenship required.
The HartfordNYSE: HIG: Provides business and personal insurance, group benefits, and investments.
1+ YOEMust be authorized to work in the U.S.; 1+ years research/DevOps experience; experience with AWS and/or GCP, CI/CD (Jenkins), IAC (CloudFormation/Terraform), Unix, git, Python, workflow automation (Airflow/Autosys), and MLOps practices.
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
4+ YOEBachelor's in CS/CE/Robotics/EE, 4+ years software engineering experience, embedded C/C++/Python/MATLAB skills, experience with state machines and software architecture, and US citizenship required.
Eversource EnergyNYSE: ES: Delivers electricity, natural gas, and water to New England customers.
5+ YOE5+ years related experience, BS in engineering/data science or related field (advanced degree preferred), experience with machine learning, cloud architecture and CI-CD, proficiency in R, Python and shell, knowledge of power systems and grid analytics.