обновлено 6 часов назад
Semi Senior Machine Learning Engineer (MLOps)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Semi Senior Machine Learning Engineer (MLOps): Industrializing, deploying, monitoring, and scaling machine learning solutions in production across the full model lifecycle with an accent on training and inference pipelines, CI/CD, model tracking, and scalable serving. Focus on building reliable ML platforms, orchestrating Databricks workflows, containerizing applications with Docker, and implementing model observability and governance.
Location: Remote - Latam
Company
is a remote startup building data engineering, machine learning, generative AI, deep learning, and recommendation solutions for clients across multiple industries.
What you will do
- Industrialize, deploy, monitor, and scale machine learning models in production.
- Design and maintain end-to-end training, inference, and retraining pipelines.
- Build CI/CD pipelines for ML workflows and manage model tracking, versioning, and registries with MLflow.
- Develop scalable model-serving APIs and orchestrate workflows and jobs on Databricks.
- Containerize ML applications with Docker and support deployment on Kubernetes-based infrastructure.
- Collaborate with Data Scientists, Data Engineers, and business stakeholders to apply MLOps and modern ML architecture practices.
Requirements
- Advanced Python and SQL skills.
- Experience with Spark or PySpark, Git, and CI/CD pipelines.
- Experience with MLflow, including tracking, registry, and deployment.
- Experience with Docker, Azure Cloud, and production-scale model deployment.
- Knowledge of Kubernetes concepts, model monitoring, observability, MLOps, and ML architecture principles.
Nice to have
- Hands-on experience with Databricks Workflows, Jobs, and Repos.
- Experience with AWS or GCP.
- Production experience with Kubernetes.
Culture & Benefits
- Remote-first culture with work available across Latin America.
- AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
- Birthday day off and an additional vacation week.
- Referral bonuses and monthly benefits marketplace credits.
- Annual team trip and team getaway opportunities.
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