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We are seeking a talented MLOps Engineer to join our Vector team in Barcelona.Responsibilities:Provision of ML AWS resources and infrastructureDeveloping MLOps pipelines leveraging the Amazon AWS platform and its featuresDeveloping ML-oriented CI/CD pipelinesDeploying machine learning models in productionHelp customers tackle challenges on a scale using distributed training frameworksUsing and writing Terraform libraries for infrastructure deploymentMaintaining infrastructures and environments of all types, from dev to productionSecurity monitoring and administrationRequirements:Over 2 years of experience in MLOpsMaster's or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experienceAbility to design and implement cloud solutions and to build MLOps pipelines (entire ML project lifecycle, including data management, experimentation, model training, deployment, and monitoring) on AWS in productionExperience with one or more MLOps Frameworks like Kubeflow, MLFlow, SageMaker, DataRobot, Airflow, Dagster, etc.Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.Experience with DevOps concepts, CI/CD pipelines, and data security measures, along with expertise in cloud platform architectureKnowledge of fundamental computer science concepts including common data structures and algorithms.Monitor the MLOps tools/approaches landscape to actively identify solutions for various domain problemsAWS CloudFormation or Terraform templates for configuring AWS servicesAbility to understand tools used by data scientists and experience with software development and test automationExcellent English language skillsAbility to collaborate effectively with diverse teamsNice to have:ML certification (AWS ML Specialty or similar)GCP or Azure knowledge (DevOps/MLOps)Working knowledge with Snowflake, BigQuery, and/or DatabricksExperience with Docker and KubernetesWorking knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc)Experience with one or more large language models Frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex.#J-18808-Ljbffr
