Machine Learning Operations Leader

beBeeMLOps; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A leading company in machine learning solutions is looking for a Machine Learning Operations Leader. In this role, you will manage a skilled team of MLOps Engineers, spearhead the development of MLOps pipelines, and drive project deliveries. You will work with cutting-edge technologies in a dynamic international environment focused on innovation and excellence.

Servicios

Professional training and certifications covered by the company

International work environment

Referral program

Company events and social gatherings

Wellbeing and professional coaching through Oliva Health

Formación

• Proven leadership experience in managing technical teams.
• Experience with MLOps frameworks like Kubeflow and Airflow.
• Fluency in Python and knowledge of ML frameworks such as TensorFlow and PyTorch.

Responsabilidades

• Lead a team of MLOps Engineers and oversee project deliveries.
• Develop MLOps pipelines utilizing Amazon SageMaker.
• Deploy Machine Learning models in production.

Conocimientos

Leadership

Customer-facing skills

Cloud solutions design

MLOps frameworks

Python

Linux

Machine Learning frameworks

Docker

Kubernetes

Communication skills

Vector Databases

Data Warehousing

Educación

ML certification (AWS ML Specialty or similar)

Herramientas

Terraform

AWS

GCP

Azure

Descripción del empleo

We are seeking a highly skilled Machine Learning Operations Leader to join our team. As an MLOps Team Lead, you will be responsible for leading a group of experienced MLOps Engineers in developing robust pipelines and cutting-edge Generative AI solutions.

Responsibilities

• Manage and develop a team of MLOps Engineers focusing on growth and execution excellence.
• Lead and oversee project deliveries from inception to completion.
• Develop MLOps pipelines leveraging Amazon SageMaker and its features.
• Create Generative AI solutions and Proof-of-Concepts using the latest architectures and technologies.
• Deliver end-to-end ML products, including model performance development, training, validation, testing, and version control.
• Provision ML AWS resources and infrastructure.
• Develop ML-oriented CI / CD pipelines using GitHub Actions or similar tools.
• Deploy Machine Learning models in production.
• Help customers tackle challenges at scale using distributed training frameworks.
• Utilize and write Terraform libraries for infrastructure deployment.
• Maintain infrastructures and environments of all types, from dev to production.
• Perform security monitoring and administration.

Requirements

• Proven leadership experience with a track record of managing technical teams.
• Excellent customer-facing skills to understand and address client needs effectively.
• Ability to design and implement cloud solutions and build MLOps pipelines on AWS.
• Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
• Fluency in Python, good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientists and experience with software development and test automation.
• Experience with one or more large language models, such as frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex.
• Experience with Docker and Kubernetes.
• Fluent written and verbal communication skills in English.
• Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc.
• Working knowledge with Snowflake, BigQuery, and / or Databricks.
• GCP or Azure knowledge (DevOps / MLOps).
• ML certification (AWS ML Specialty or similar).
• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.).
• International work environment.
• Referral program – enjoy cooperation with your colleagues and get a bonus.
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.).
• Wellbeing and professional coaching through Oliva Health.