Senior MLOps Engineer
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Job Description
Senior MLOps Engineer responsible for the full lifecycle of machine learning systems. Involved in developing cloud infrastructure and ensuring best practices in software development.
Responsibilities:
- Design, build, and maintain complex, distributed systems for the full machine learning lifecycle (from ingestion to production monitoring);
- Implement and evolve our MLOps architecture, including Feature Store concepts, Model Serving, and automated CI/CD pipelines;
- Manage and apply cloud infrastructure for the team's projects using Infrastructure as Code (IaC) practices;
- Develop internal tools and frameworks to optimize the team's workflows;
- Ensure adoption of software engineering best practices (testing, clean code, sustainable architecture);
- Collaborate with business areas (Product, Customer Success, and Sales/Marketing) to translate commercial needs into viable technical solutions.
Requirements:
- Strong experience as a Machine Learning Engineer (MLE) or MLOps Engineer in production environments;
- Required knowledge of Distributed Systems and scalable architectures;
- Advanced proficiency in Python and solid software engineering practices;
- Hands-on experience with large-scale or parallel processing tools such as Spark and/or Dask;
- Experience with cloud computing (primary stack: AWS, but knowledge of GCP or Azure is also accepted);
- Practical experience managing infrastructure with Terraform;
- Experience with containerization (Docker);
- Familiarity with the model lifecycle and deployment of traditional models (regression and classification).
- Desired:
- Hands-on experience with Kubernetes (K8s);
- Experience with messaging/streaming systems (Kafka) and asynchronous processing patterns;
- Knowledge of workflow orchestration tools, preferably Prefect (Airflow, Kubeflow, or similar also acceptable);
- Interest or initial experience in productionizing LLMs / Generative AI;
- Knowledge of other languages for system maintenance or performance/data-flow optimization (such as Java, Rust, C/C++ or GPU computing);
- Advanced English (reading, writing, and technical documentation).
Benefits:
- Meal and/or food allowance
- Corporate agreements with Sesi and Sesc, providing access to health, wellness, and leisure services
- Partnerships with educational institutions offering exclusive discounts on courses and educational programs
- Opportunities for growth within the company and participation in strategic projects
- Opportunity to work at a fast-growing company in the market.
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