AI/ML Engineering Team Lead

2 weeks ago


Dublin, Dublin City, Ireland beBeeSoftware Full time €120,000 - €150,000
Lead AI/ML Software Developer Position

PlayStation isn't just the Best Place to Play – it's also a global leader in entertainment and innovation.

We produce The PlayStation family of products and services including next-generation gaming consoles, acclaimed software titles from our studios, and more.

Our mission is to create an inclusive environment that empowers employees and embraces diversity.

Join us in exploring new frontiers in artificial intelligence and machine learning

The work we do delivers impactful insights to build increasingly dynamic and interactive experiences for millions of users.

Our AI/ML Engineering Group optimizes interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying, and evaluating large-scale machine learning systems.

Key Responsibilities:
  • Own, support, and optimize performance and costs across several ML platform components and services
  • Design integration patterns for seamlessly incorporating new components into the ML platform
  • Support planning and estimation of work requirements for delivering new ML platform capabilities
  • Establish and maintain security, compliance, and governance standards for the ML platform
  • Collaborate with ML engineering teams to support productionizing ML models and experiments
  • Ensure ML platform scalability and reliability to support growing ML workloads
  • Support the professional growth and development of junior engineers
Requirements:
  • 7+ years of experience in backend or infrastructure roles in the AI/ML space
  • Bachelor's degree in a technical field
  • Strong proficiency in one or more of the following programming languages: Python, Java, Scala, or Go
  • Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
  • Understanding of CI/CD tools (Jenkins, Github Actions, ArgoCD, etc.) and how they enable MLOps best practices
  • Experience working with distributed systems
  • Strong verbal and written communication skills
Preferred Qualifications:
  • Knowledge and exposure in the past to various ML platforms, spanning across production and research needs
  • Experience with Databricks, Tecton, and Seldon
  • Experience with GPU accelerated high performance compute utilizing Run.ai for orchestrating and managing AI workloads
  • Deployed and supported online services with high RPS and low latency requirements

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