MLOps Engineer Vector

hace 3 días

Barcelona, Barcelona, España Appodeal A tiempo completo
Job Title: MLOps Engineer Vector

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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