QuadSci.ai · 3 hours ago
DataML Engineer
United States
Full-time
Remote
Mid Level
3+ years exp
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Responsibilities
Field deployed AI/ML Engineer working across 1 - 5 customers
Analyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting / Billing, Website Analytics and other common enterprise data sources.
Utilize our auto and sem-auto feature engineering assets focused on large telemetry data sets (TBs to PBs)
Deploy, train, test and monitor AI products at scale within a Customers’ operating architecture in platforms such as Vertex AI
Engage with other QuadSci deployed colleagues on the explanation of data insights, confirmation of design requirements, root cause analysis, etc.
Work with Customers on AI feature roadmaps (incl. GenAI applications) for their models and ongoing performance management of deployed AI models
Collaborate with QuadSci colleagues, Customer Cloud Ops and Partners on ML ops, integrations and performance management
Contribute to QuadSci codebase for auto-feature engineering, AI product packaging, next best action logic and more
Qualification
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Required
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or other related field
3+ years of relevant experience in data science or product development
Experience with data science and cloud computing environments like VertexAI, Sagemaker or similar tool
Demonstrated success in the use of clustering, classification, regression, decision trees etc to deliver transformative insights
Strong experience in building, training, and tuning predictive machine learning, especially in the domains of next best offer or recommended action based on time-series type data sets
Experience in Natural Language Processing (NLP) for sentiment analysis and behavioral modeling
Hands on experience with Pandas, Polars and / or Dask for data transformation & feature engineering
Preferred
Masters degree in Computer Science, Data Science, Applied Statistics or a related field
Deployment architecture experience for MLOps optimization using technologies like Dagster or similar tool
Experience in the use of Large Language Models (LLMs, both Open Source & Proprietary), Embeddings algorithms, Vector DBs and APIs to create GenAI applications
Familiarity with technologies and/or data architectures such as: Pendo, Salesforce and Open Telemetry
Direct experience in the use of AI/ML to automate essential business processes that have an impact to Field teams or Customers
Company
QuadSci.ai
QuadSci.ai is a leading analytics services partner for B2B product and service companies balancing profitable growth & customer experience that today’s market demands.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
