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Senior Machine Learning Engineer

Posted 2 days agoViewed

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💎 Seniority level: Senior, 5+ years of developing production-grade applications

🏢 Company: New Relic👥 1001-5000💰 Private about 1 year ago🫂 Last layoff about 1 month agoIT InfrastructureCloud ComputingSaaSAnalyticsMobileSoftwareApplication Performance Management

⏳ Experience: 5+ years of developing production-grade applications

Requirements:
  • Proficiency in software engineering design practices.
  • Experience working with transformer models and text embeddings.
  • Proven track record of deploying and managing ML models in production environments.
  • Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy.
  • 5+ years of developing production-grade applications in Python.
  • Proficiency in Kubernetes and containers.
  • Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon.
  • Expertise in Python, C++, Kotlin, or similar programming languages.
  • Experience designing, developing, and testing scalable distributed systems.
  • Familiarity with message broker systems (e.g., Kafka, RabbitMQ).
  • Knowledge of application instrumentation and monitoring practices.
  • Experience with ML workflow management tools like AirFlow, Sagemaker, etc.
Responsibilities:
  • Play a pivotal role across the machine learning lifecycle.
  • Contribute to conversational AI bots, RAG system, and traditional ML problem-solving.
  • Build production-ready inference pipelines.
  • Deploy and version models.
  • Implement continuous validation processes.
  • Fine-tune generative AI models.
  • Design agentic language chains.
  • Prototype recommender system experiments.
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