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Machine Learning Engineer II

PagerDutyIncident Management company
Lisbon, PortugalSenior
Andreessen Horowitz logo
Andreessen Horowitz
T. Rowe Price logo
T. Rowe Price
Wellington Management logo
Wellington Management
Elevation Capital
Accel logo
Accel
Prime Venture Partners
Data & AINew

About the role

TL;DR

Machine Learning Engineer to build and improve ML/GenAI solutions.

  • PagerDuty is looking for a Machine Learning Engineer passionate about collaborating with data scientists, product managers, and engineers to accelerate the development of products powered by Gen AI and other Machine Learning techniques.
  • You will contribute hands-on to the development of services and pipelines enabling ML/AI features.
  • Key Responsibilities Build and improve capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions.
  • Partner with data scientists, sharing engineering context and collaborating on larger initiatives.
  • Incorporate best practices for shipping machine learning capabilities to production.
  • Continuously optimize workflows and reduce technical debt.
  • Requirements 3+ years of experience building, designing, and shipping machine learning solutions to production.
  • Proven software development track record with Python.
  • Demonstrated experience with data modeling, database design, ETL processes, working with unstructured data, and cloud-based data infrastructure tools.
  • Ability to stand up infrastructure building blocks for ML processes (data exploration, model training, deployment).
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Required skills

PythonKubernetesLLMs

Nice-to-have skills

Product Management

Domain expertise

developer-toolsaiproductivity

Benefits & perks

Competitive salary, Comprehensive benefits package, Flexible work arrangements, Company equity, ESPP (Employee Stock Purchase Program), Retirement or pension plan, Generous paid vacation time, Paid holidays and sick leave, Dutonian Wellness Days & HibernationDuty, Paid parental leave, Paid volunteer time off, Company-wide hack weeks, Mental wellness programs

Tech stack

PythonKubernetesLLMs

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