(1071) Senior Machine Learning Ops Engineer

Nearsure – Senior Machine Learning Ops Engineer

Nearsure is seeking a Senior Machine Learning Ops Engineer to design, build, and maintain scalable ML infrastructure, pipelines, and production systems. You will own end-to-end ML workflows from data ingestion to model deployment, monitoring, and reliability. This is a remote role located in Latin America.

Responsibilities

• Design and implement scalable ML pipelines for data ingestion, feature engineering, model training, deployment, and monitoring.
• Deploy and operate production ML models with robust CI/CD, model registry, and version control.
• Collaborate with data scientists and product teams to translate experiments into reliable services.
• Implement MLOps tooling: feature stores, data lineage, experiment tracking, model monitoring, and incident response.
• Manage cloud infrastructure (AWS/GCP/Azure) and containerized services using Kubernetes and Docker.
• Ensure security, compliance, observability, and cost efficiency.

Requirements

• 5+ years of experience in ML engineering, MLOps, or related roles.
• Strong Python proficiency; experience with ML frameworks (TensorFlow, PyTorch).
• Hands-on experience with cloud platforms (AWS, GCP, Azure).
• Kubernetes, Docker experience; orchestration tooling (Helm, Argo).
• Experience with ML tooling (MLflow, Kubeflow, Airflow) and data pipelines.
• Knowledge of data versioning, feature stores, data quality, and monitoring (Prometheus, Grafana).
• Familiarity with CI/CD for ML and production-grade software engineering.
• Bachelor's or Master's degree in CS, ML, or related field.

Nice-to-have

• Experience in fintech/regulated industries.
• Experience with Snowflake, Spark, or similar data platforms.
• Familiarity with serverless architectures and cost optimization.

Location

Remote in Latin America