13 ago
|
SPECTRAFORCE
|
México
13 ago
SPECTRAFORCE
México
Job Title: ML Engineer
Location: REMOTE
Duration: Direct Hire
About the ML Engineer role:
You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers. These “usage pattern cohorts” are the lynchpin of increasing the go-to-market and operational clock speed of customer-centric organizations. You will be accountable for the development, training and performance management of AIs (Engage, Economic Forecasting, & Growth). You will be analyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting / Billing, Website Analytics and other common enterprise data sources. You will be working across 1 - 5 customers as a highly trusted (and billable) AI/ML Engineer. As joining an early stage AI-Start Up you will contribute to the expansion of delivery methodology and AI/ML workbench.
You will:
- Aggregate, analyze and generate supervised & unsupervised ML insights from large application telemetry data sets
- Consolidate and manage high-value datasets via REST APIs or Extract, Load, Transform (ELT) processes, etc into Datalakes such as Google BigQuery, Snowflake, DataBricks, AWS S3, etc.
- Build, train, test, tune and deploy AI models at scale within a Customers’ operating architecture in platforms such as Vertex AI
- Engage with other 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 colleagues and / or Customer IT on integration and automation requirements reliant on AI/ML score code outputs
Qualifications:
- Must have a bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or other related field
- 3+ years of relevant experience in data science, consulting or product development
- Expertise in N
📌 Machine Learning Engineer (México)
🏢 SPECTRAFORCE
📍 México