Principal Machine Learning Engineer

Overview

Principal Machine Learning Engineer responsible for building machine learning models, setting up pipelines, and supporting production ML services for the ConnectWise platform.

What you'll do

• Build and optimize machine learning models.
• Research, analyze, and document findings.
• Assist in delivering production-grade machine learning services.
• Design and maintain machine learning infrastructure.
• Work with cross-functional teams to establish proper data pipelines for high-quality data availability.
• Influence and execute on product decisions and product launches using ML inputs.

What you'll need

• 8+ years of relevant experience.
• Ability to work independently on projects and processes with close supervision.
• Broad theoretical knowledge of ML/AI, including generative AI fine-tuning (e.g., supervised fine-tuning, DPO, RFT) and parameter-efficient fine-tuning (LoRA/QLoRA).
• Experience with ML model evaluation (task-specific eval sets, LLM-as-judge, offline metrics, online A/B testing).
• Strong programming skills in Python and fluency with libraries such as Hugging Face Transformers and scikit-learn.
• Proficiency in SQL and/or other data manipulation languages and knowledge of big data tools like Apache Spark.
• Working knowledge of Git and at least one cloud platform such as AWS.

Details

• Location: Remote (IND).