Machine Learning Engineer

HappyRobot
Barcelona
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Communication","Collaboration","Attention to detail","Data-driven"]

As a Machine Learning Engineer at HappyRobot, you will design and deploy scalable ML systems powering real-time, human-like conversations. You’ll own end-to-end ML pipelines, MLOps, and production monitoring, collaborating with product and engineering to deliver robust AI solutions in a fast-paced startup environment.

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HappyRobot
HappyRobot
10 months ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

As a Machine Learning Engineer at HappyRobot, you will design and deploy scalable ML systems powering real-time, human-like conversations. You’ll own end-to-end ML pipelines, MLOps, and production monitoring, collaborating with product and engineering to deliver robust AI solutions in a fast-paced startup environment.
Location: Barcelona
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.
  • •Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.
  • •Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.
  • •Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.
  • •Ensure data quality, observability, and performance across all AI systems.

Key Requirements

  • •Strong experience in machine learning, deep learning, and NLP.
  • •Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.
  • •Proficiency in Python and familiarity with Go.
  • •Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).
  • •Ability to design ML systems for robustness, scalability, and automation.
Experience:AIMachine LearningNLP
Skills:Problem-solvingCommunicationCollaborationAttention to detailData-driven
Tech Stack:PythonGoMLflowKubeflowWeights & BiasesCI/CDDockerKubernetesAWSGCPAzure

Company Brief

HappyRobot
Builds and manages enterprise AI workers (conversational and document-processing agents) to automate operational workflows for supply chain and logistics companies, integrating with systems to execute tasks, collect real-time data, and drive operational insights.
Industry: Supply Chain Technology
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
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