‎ConnectWise - Principal Machine Learning Engineer

• Builds/ Optimizes machine learning models. • Researches, analyzes, and documents findings. • Assists in delivering production grade machine learning services that power the ConnectWise platform and products. • Designs and maintains machine learning infrastructure. • Informs, influences, supports, and executes on product decisions and product launches. • Works with cross-functional teams to ensure that proper data pipelines are established to ensure availability of high-quality data. • Knowledge, Skills, and/or Abilities Required: • Ability to work independently on projects and processes with close supervision. • Broad theoretical knowledge of ML/ AI space and application development using generative AI including supervised fine-tuning, preference optimization (DPO), and reinforcement fine-tuning (RFT) of LLMs; parameter-efficient fine-tuning (LoRA/QLoRA); fine-tuning encoder models such as BERT/ModernBERT for text classification; and retrieval-augmented generation with embedding retrievers and cross-encoder rerankers. • Strong grasp of model evaluation methodology (task-specific eval sets, LLM-as-judge, offline metrics, and online A/B testing) and experience building training-data, synthetic-data, and distillation pipelines for post-training. • Ability to situationally adapt and understand new technology/processes as per business partner requirement. • Strong programming skills in python and fluency in common libraries ( Hugging Face Transformers, TRL, PEFT, Sentence-Transformers, scikit-learn, etc.) • Proficient in SQL and/or other data manipulation languages. • Knowledge of big data processing tools such as Apache Spark. • Proficiency in version controls systems such as Git. • Knowledge of at least one cloud platform (e.g. AWS) and its relevant services (e.g. EMR, S3, and SageMaker). • Ability to interpret business requirements and translate into ML deliverables. • Ability to break down and communicate complex, highly technical concepts to audiences of varying technical understanding • Educational/Vocational/Previous Experience Recommendations: • Bachelor degree in CS or related field required; Master’s or PhD preferred. • 8+ years of relevant experience • Experience writing code (e.g. Python) and taking machine learning models to production. • Experience building software on cloud computing platforms. • Experience deploying, monitoring, and iterating machine learning models in production.