Mlops Engineer Vector
hace 1 mes
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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