Machine Learning Engineer / MLOps (Python, Cloud, Data) – Híbrido - CDMX
Core
Building and maintaining machine learning pipelines, implementing CI/CD for models, and deploying models to production environments to enhance customer experience.
Role type
Machine Learning / MLOps Engineer
Builds
Scalable ML solutions and production-ready model pipelines
Domain
Data engineering and machine learning operations
Deliverable
production ML models
Required skills
Python, SQL, data/ML pipelines (Airflow, Spark), MLOps tools (MLflow, DVC, Kubeflow), cloud platforms (AWS, GCP), CI/CD
Preferred skills
Docker, Kubernetes
Technologies
Python, SQL, Spark, Airflow, BigQuery, Snowflake, Redshift, Docker, Kubernetes, MLflow, DVC, Vertex AI, SageMaker, Git
Responsibilities
Build and maintain machine learning pipelines; Implement CI/CD processes for models; Deploy models to production environments; Integrate models into APIs and services; Monitor model performance, drift, and versioning; Collaborate with Data Science and Data Engineering teams
Seniority
Mid-level (3+ years experience)