Senior MLOps Engineer
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Job Description
Senior MLOps Engineer building scalable ML infrastructure and deployment pipelines. Factored connects U.S. companies with top LATAM AI, ML, and data talent.
Responsibilities:
- Build and automate CI/CD pipelines for machine learning models and data workflows using GitHub Actions, GitLab CI, or Jenkins.
- Architect and manage containerized microservices and orchestration platforms for ML workloads using Docker and Kubernetes (EKS, GKE, AKS).
- Implement and manage ML lifecycle, tracking, and versioning tools such as MLflow, DVC, or Kubeflow.
- Provision, configure, and maintain ML cloud infrastructure using Infrastructure as Code tools like Terraform.
- Establish monitoring, alerting, and logging systems for deployed models using Prometheus, Grafana, or Arize to track data drift, model performance, and operational health.
- Collaborate with data scientists and software engineers to transition ML models from experimental scripts into secure, low-latency, scalable production APIs.
- Design, build, and maintain infrastructure, pipelines, and tools enabling seamless machine learning deployment and operation across enterprise environments.
- Own ML workflows end-to-end, from automated training and versioning to production monitoring and continuous integration.
Requirements:
- 5+ years of hands-on experience in MLOps, with a proven track record of deploying and scaling ML pipelines in enterprise environments.
- Advanced English proficiency (written and spoken) with strong communication skills to collaborate effectively across multidisciplinary teams.
- Strong Python and Bash scripting skills, with expertise in containerization (Docker) and orchestration frameworks (Kubernetes).
- Deep hands-on experience with cloud platforms (AWS, GCP, Azure), Infrastructure as Code (Terraform), and CI/CD pipelines.
- Demonstrated experience with dedicated MLOps platforms (MLflow, DVC, Kubeflow) and model observability/monitoring solutions (Prometheus, Grafana, Arize).
Benefits:
- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break.
- Paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance culture.
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