Senior Machine Learning Engineer

2K
Dublin
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Autonomy","Judgment","Problem-solving","Mentoring","Engineering standards"]

Deploy and operate machine learning models in production for low-latency, high-availability prediction services across real-time, near-real-time, and batch use cases. Own and mature MLOps (CI/CD for models, registries, feature stores, inference at scale, monitoring, drift detection, and reproducibility). Partner across ML science, data engineering, central tech, and game studios to integrate ML-powered decision services and prototype GenAI/LLM solutions for live products.

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FursaFursa
2K
2K
5 days ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 36 minutes agoStatus: Live

Job Summary

Deploy and operate machine learning models in production for low-latency, high-availability prediction services across real-time, near-real-time, and batch use cases. Own and mature MLOps (CI/CD for models, registries, feature stores, inference at scale, monitoring, drift detection, and reproducibility). Partner across ML science, data engineering, central tech, and game studios to integrate ML-powered decision services and prototype GenAI/LLM solutions for live products.
Location: Dublin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with ML scientists, data engineers, central tech, and game studios to deploy ML models as production-grade decision services and integrate them into larger systems and live products.
  • •Own and mature MLOps including CI/CD for models, model registry and feature stores, real-time inference at scale, monitoring, drift detection, and reproducibility.
  • •Design and rapidly prototype ML-powered products such as recommenders, matchmaking, cheat/toxicity intervention, and economy balancing.
  • •Work with studio devs and central tech to plan and execute integration of ML applications into games on launch timelines.
  • •Identify and pilot opportunities to apply GenAI/LLM, translating concepts into secure, scalable, measurable solutions.

Key Requirements

  • •4+ years in software development/engineering with substantial experience deploying ML in production (or a Master’s with 2-4 years).
  • •Strong programming skills, proficient in Python; ability to work across paradigms and learn new languages quickly.
  • •Solid grounding in core ML tasks (supervised/unsupervised) with reinforcement learning experience a plus.
  • •Hands-on with modern ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Spark ML.
  • •Production experience with cloud infrastructure (AWS, GCP, or Azure), containers/orchestration (e.g., Kubernetes), serverless, and microservice architecture.
Experience:4+ yearsMachine learningMLOpsCloudProduction
Education:Bachelor's in Computer Science, Computer/Electrical Engineering, or a related STEM field
Skills:AutonomyJudgmentProblem-solvingMentoringEngineering standards
Languages:English
Tech Stack:PythonCC++JavaRustPyTorchTensorFlowScikit-learnSpark MLAWSGCPAzureKubernetesServerlessMicroservice architectureCI/CDModel registryFeature storesAirflowKubeflow

Company Brief

2K
2K is a video game publisher and developer known for sports, action, and strategy franchises such as NBA 2K, WWE 2K, Borderlands, and Sid Meier’s Civilization. It operates as a major label within Take-Two Interactive.
Industry: Gaming
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Novato, United States
Founded: 2005
WebsiteLinkedIn