Principal Machine Learning Engineer
ConnectWise2 months ago
Remote, IndiaStaff+
Responsibilities
- Build and optimize machine learning models.
- Research, analyze, and document findings.
- Deliver production-grade machine learning services powering ConnectWise products and platform.
- Design and maintain machine learning infrastructure.
- Establish high-quality data pipelines with cross-functional teams.
- Support product decisions and product launches.
- Build and maintain training-data, synthetic-data, distillation, and model-evaluation pipelines.
- Deploy, monitor, and iterate machine learning models in production.
- Translate business requirements into machine learning deliverables and communicate technical concepts to varied audiences.
Requirements
- Bachelor’s degree in computer science or a related field required; master’s degree or PhD preferred.
- 8+ years of relevant experience.
- Experience writing production code, such as 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.
- Knowledge of machine learning and generative AI, including supervised fine-tuning, DPO, RFT, LoRA/QLoRA, BERT/ModernBERT fine-tuning, retrieval-augmented generation, embedding retrievers, and cross-encoder rerankers.
- Experience with model evaluation methods including task-specific evaluation sets, LLM-as-judge, offline metrics, and online A/B testing.
- Strong Python programming skills and familiarity with common machine learning libraries.
- Proficiency in SQL or other data manipulation languages.
- Knowledge of big data processing tools such as Apache Spark.
- Proficiency with version control systems such as Git.
- Knowledge of at least one cloud platform and relevant services.
- Ability to work independently, adapt to new technologies and processes, and communicate complex technical concepts clearly.
Tech Stack
Categories
About ConnectWise
ConnectWise builds a SaaS platform used by managed service providers and technology solutions providers to run as-a-service operations, including PSA/business management, RMM, remote access, quoting, and cybersecurity tools. It sells subscriptions and an ecosystem of integrations and community resources under The IT Nation. Founded in 1982 and headquartered in Tampa, the company is privately held under Thoma Bravo.