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Machine Learning Engineer
Full-time
QuadSci.ai helps B2B product and service companies drive profitable growth without sacrificing customer experience. They connect telemetry and operational data across product analytics, CRMs, support systems, websites, and knowledge bases to power prescriptive AI. Their Intelligent Automation libraries deliver contextual product experiences, guide adoption, and recommend actions that improve unit economics.
About the Role
You are an expert at finding patterns and explaining insights from application and event data using supervised and unsupervised ML approaches. You will be accountable for the development, training, and performance management of QuadSci AIs, analyzing diverse data sets across application telemetry, CRM, Support, Accounting/Billing, and Website Analytics. You'll work across 1-5 customers as a highly trusted AI/ML Engineer at an early-stage AI start-up.
You Will
Aggregate, analyze, and generate supervised and unsupervised ML insights from large application telemetry data sets.
Consolidate high-value datasets via REST APIs or ELT into datalakes such as BigQuery, Snowflake, Databricks, and AWS S3.
Build, train, test, tune, and deploy AI models at scale in platforms such as Vertex AI.
Work with customers on AI feature roadmaps including GenAI applications and ongoing performance management.
Qualifications
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
3+ years of relevant experience in data science, consulting, or product development.
Expertise in NumPy, Pandas, scikit-learn, and Keras, with success applying clustering, classification, and regression.
Extensive experience in SQL and Python for data transformation, plus NLP for sentiment analysis and behavioral modeling.
