We are seeking a talented MLOps Engineer to join our Vector team in Barcelona.
Responsibilities: Provision of ML AWS resources and infrastructure Developing MLOps pipelines leveraging the Amazon AWS platform and its features Developing ML-oriented CI/CD pipelines Deploying machine learning models in production Help customers tackle challenges on a scale using distributed training frameworks Using and writing Terraform libraries for infrastructure deployment Maintaining infrastructures and environments of all types, from dev to production Security monitoring and administration Requirements: Over 3 years of experience in MLOps Master's or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience Ability 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 production Experience 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 architecture Knowledge of fundamental computer science concepts including common data structures and algorithms. Monitor the MLOps tools/approaches landscape to actively identify solutions for various domain problems AWS CloudFormation or Terraform templates for configuring AWS services Ability to understand tools used by data scientists and experience with software development and test automation Excellent English language skills Ability to collaborate effectively with diverse teams Nice to have: ML certification (AWS ML Specialty or similar) GCP or Azure knowledge (DevOps/MLOps) Working knowledge with Snowflake, BigQuery, and/or Databricks Experience with Docker and Kubernetes Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) Experience with High-Load Systems Experience with one or more large language models Frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex.
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