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25 New Relic One Jobs
Senior Machine Learning Engineer
New Relic One
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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, like AirFlow, Sagemaker, etc.
- Fine-tuning generative AI models to enhance performance.
- Designing AI Agents for conversational AI applications.
- Experimenting with new techniques to develop models for observability use cases
- Building and maintaining inference pipelines for efficient model deployment.
- Managing deployment and model versioning pipelines for seamless updates.
- Developing tooling to continuously validate models in production environments.
- Familiarity with the AWS ecosystem.
- Past projects involving the construction of agentic language chains
Employment Type: Full Time, Permanent
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