Senior ML Engineer — Remote in Spain (Forecasting & MLOps)

Hermes Datacommunications International Limited; Madrid; Hybrid; EUR 70.000 - 80.000; Vollzeit

Zusammenfassung

Speedcast is seeking a Senior Machine Learning Engineer to design, build and deploy ML models on network telemetry and business data. You will own end-to-end ML operations, collaborate with data engineers to productionize models on AWS, and mentor junior engineers while contributing to agile ceremonies and making use of modern lakehouse architectures.

Candidates should have 5+ years in ML/DS, strong Python and SQL, experience with AWS SageMaker and time-series analytics, and a proven track

Qualifikationen

• 5+ years of experience in ML, data science, or ML engineering with production models.
• Strong Python and ML ecosystem knowledge (scikit-learn, PyTorch, TensorFlow, pandas).
• Strong SQL skills and experience with large analytics datasets.
• Experience with AWS services and deploying ML workloads in the cloud.
• Familiarity with MLOps practices and CI/CD for models.
• Experience with time-series forecasting or anomaly detection at scale.

Aufgaben

• Design, build, evaluate, and deploy ML models on network telemetry and business data.
• Build and maintain feature and training-data pipelines on the data lakehouse.
• Own end-to-end MLOps: experiment tracking, versioning, CI/CD, retraining, monitoring.
• Define standards for model development, evaluation, governance.
• Translate business problems into ML problems; communicate results to stakeholders.
• Collaborate with data engineers to productionize models as services on AWS.
• Mentor AI Engineers and data scientists on ML best practices.
• Participate in Agile ceremonies and prioritization.
• Evaluate adoption of new ML technologies and tools.

Kenntnisse

Python

SQL

AWS

Docker

MLOps

Time-series

ML engineering

PyTorch

Data analysis

Git

Tools

Kafka

SageMaker

Docker

TimescaleDB

Iceberg

Parquet

dbt

Terraform

Jobbeschreibung

Speedcast is seeking a Senior Machine Learning Engineer to design, build and deploy ML models on network telemetry and business data. You will own end-to-end ML operations, collaborate with data engineers to productionize models on AWS, and mentor junior engineers while contributing to agile ceremonies and making use of modern lakehouse architectures.

Candidates should have 5+ years in ML/DS, strong Python and SQL, experience with AWS SageMaker and time-series analytics, and a proven track