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Senior Machine Learning Engineer

ServiceNow

Skills

Required

  • AI
  • software engineering
  • algorithms
  • SDLC / workflows / decision making
  • OOP
  • data structures
  • system design
  • concurrency
  • parallelism

Preferred

  • Vehicle Routing Problems
  • Mathematical Optimization
  • Field Service Management
  • Python
  • Java / JavaScript / Kubernetes / GraphQL

Join ServiceNow as a Senior Machine Learning Engineer, where you will design, build, and operate model-driven applications. You will be responsible for developing optimization algorithms, managing deployments, and collaborating with cross-functional teams. This role requires strong experience in software engineering, AI integration, and stakeholder communication.

Python, MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL

Responsibilities

  • Concevoir, construire et exploiter des applications basées sur des modèles d'optimisation avancés en production à grande échelle.
  • Développer des systèmes d'évaluation automatisés et de test du comportement des modèles, et gérer les déploiements.
  • Collaborer avec les clients pour comprendre les exigences commerciales et les capacités du produit, et aider à la mise en valeur.
  • Experience with key Technologies: Experience with Python is strongly preferred; experience in Java, JavaScript, Kubernetes, or GraphQL is a bonus

Requirements

  • Experience with mission critical systems. Demonstrated experience developing reliable and resilient systems
  • AI Native Approach. Strong critical thinking and a track record of integrating AI into engineering processes, SDLC, workflows, or decision making
  • 5+ years of related experience with a bachelor’s degree in computer science, software engineering, or related technical field. Advanced degrees or certifications (especially in Operations Research) are a bonus
  • Software engineering fundamentals. Strong command of OOP, data structures, algorithms, system design, concurrency, parallelism, APIs, data modeling, and testing
  • Forward deployed delivery and stakeholder communication. Comfort working directly with customers under incomplete information and fixed timelines, judgment about when a fast local solution is right and when to hold out for the durable one, and credibility communicating capability, limitation, and risk to non-engineers

Preferred

  • Domain expertise. Familiarity with Operations Research, Vehicle Routing Problems, Mathematical Optimization, Field Service Management is a plus but not required

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