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Senior MLOps Engineer @ N-iX
1 miesiąc temu
N-iX is looking for a Senior MLOps Engineer to join the team. Our client is a leading global provider of high-quality licensed images, videos, and music. The company helps inspire graphic designers, creative directors, video editors, filmmakers, web developers, and other creative professionals by providing diverse content to businesses, marketing agencies, and media organizations around the world.
Requirements
2+ years of development experience in the ML domain (build training and inference pipelines, manage model deployment)
MLOps e.g. MLflow, SageMaker (must)
General Data Engineering
Deep learning, hosting LLMs, multimodal LLM
Experience with AWS deployment, AWS SageMaker (must), AWS Bedrock.
Hands-on experience with modern machine learning libraries and frameworks, e.g. TensorFlow or Pytorch
Understanding of CS fundamentals such as Distributed Systems, Database Systems, Operating Systems, algorithms, and data structures. Hands-on coding and debugging experience using modern software delivery methods to develop services using Python, Go, or JVM-based languages (Java, Kotlin).
Experience with building and owning highly available, fault-tolerant backend systems using cloud storage services.
Experience building software for database administration or experience with devops for databases is a plus.
N-iX is looking for a Senior MLOps Engineer to join the team. Our client is a leading global provider of high-quality licensed images, videos, and music. The company helps inspire graphic designers, creative directors, video editors, filmmakers, web developers, and other creative professionals by providing diverse content to businesses, marketing agencies, and media organizations around the world.
,[Contribute to the implementation of large-scale and low-latency services, elegant abstractions, shareable libraries, and robust APIs. , Partner with other engineering teams vendors to develop reliable and scalable solutions to a wide range of problems. , Review others’ work and provide reinforcing and constructive feedback to meet high-quality standards. ] Requirements: MLOps, MLflow, Data engineering, AWS, AWS SageMaker, Machine learning, TensorFlow, PyTorch, Operating system, Data structures, Python, Go, Java, Kotlin, Cloud, Storage Tools: .
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