Senior Machine Learning Engineer

  • Lisboa
  • Pagerduty
PagerDuty is looking for a senior-level machine learning engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. We expect you to lead the design and deployment of solutions to host our models in production, in alignment with our design patterns and best practices to support the business.You will be working on high-impact / high-visibility projects and have the opportunity to apply your knowledge to help shape how we enable our various products to leverage the latest machine learning and generative AI capabilities. You’ll succeed by being an effective team player, independently managing time, and demonstrating emotional intelligence as you navigate stakeholder relationships championing and scoping our cross-team initiatives.Key Responsibilities Build and improve the capabilities that enable and accelerate our machine learning (ML) and generative AI (LLM/NLP) based products Partner with data scientists, effectively sharing engineering context and working together to support larger initiativesProvide guidance, technical leadership, and mentoring to junior members of the teamProactively recommend improvements and new approaches to address potential systemic pain points and technical debtRemain current on the latest ML engineering developments, integrating new solutions to our existing workflow when applicable Basic Qualifications 5+ years of experience building, designing, and shipping machine learning solutions to productionExperience working with Product teams, ensuring and driving a timely deliveryProven software development track record with PythonDemonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructureAwareness of and experience with ML processes (exploration, training, deployment), technologies (services, packages), infrastructure (AWS), ML techniques (e.g., natural language processing)Experience with with pre-trained Large Language Models (LLMs) and with leveraging that technology for enabling downstream product featuresPassionate about data/ML engineering and displaying effective communication when conveying technical concepts and collaborating with across teams Preferred Qualifications Prior exposure to container management systems (e.g., Kubernetes)Ability to think through a complex problem, build a solution, and execute that solution with effective change management skillsStrong sense of ownership and accountability. Ability to effectively drive work across teams and products to solve big customer challenges