HappyRobot

3 months ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and maintain scalable ML systems for real-time AI products, owning end-to-end model lifecycles from data ingestion to deployment. Collaborate with product and engineering teams to ship robust NLP and AI infrastructure, implement MLOps practices, and ensure data quality and observability across production systems.

Location: Spain

Workplace: Hybrid

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—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:AIMLNLPMLOpsData pipelines

Skills:Problem-solvingCommunicationCollaborationAnalytical thinkingAttention to detail

Languages:English

Tech Stack:PythonGoMLflowKubeflowWeights & BiasesAirflowDagsterDockerKubernetesAWSGCPAzure

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

Website LinkedIn Glassdoor

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HappyRobot

3 months ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Spain

Workplace: Hybrid

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—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:AIMLNLPMLOpsData pipelines

Skills:Problem-solvingCommunicationCollaborationAnalytical thinkingAttention to detail

Languages:English

Tech Stack:PythonGoMLflowKubeflowWeights & BiasesAirflowDagsterDockerKubernetesAWSGCPAzure

Company Brief

HappyRobot

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

Website LinkedIn Glassdoor