[Job-31614] 高级机器学习工程师，巴西
[Job-31614] Senior Machine Learning Engineer, Brazil
在CI&T，我们帮助大型企业将AI的潜力转化为实际的业务影响，通过AI部署、AI原生执行以及技术整合的业务解决方案。
拥有30年技术转型经验，我们在代理型SDLC、应用现代化、数据与AI、营销科技和商业战略方面具备专业知识，加速创新。
我们在25多个国家有8000多名CI&T员工，协作打造具有实际影响的解决方案。AI已经是我们每天工作、发展和创新的一部分。
职位介绍
我们正在寻找一位高级机器学习工程师，负责在企业规模上开发、工业化和演进机器学习产品。
该职位将位于数据科学、数据工程和MLOps的交汇点，负责ML解决方案在生产环境中的架构、治理、操作和支持。该职位需要从方案设计和开发到监控、文档和持续改进的全流程负责。
主要职责
- 领导MLOps相关工作，包括模型训练、部署、模型服务、监控和生命周期治理。
- 使用PySpark开发和维护ETL/ELT管道、DAG和数据及机器学习工作流。
- 设计和管理企业级特征存储，确保特征版本控制、血缘关系以及训练和推理之间的一致性。
- 开发、验证并操作不同分析用例的机器学习模型。
- 实施模型版本控制策略、冠军/挑战者方法、发布、模型晋升和模型注册表管理。
- 确保数据、特征、管道和模型在可观测性、质量、可追溯性、可复现性和治理方面的保障。
- 设计和实现机器学习平台的CI/CD流程和基础设施即代码（IaC）。
- 定义架构标准、工程最佳实践和MLOps指南。
- 进行技术代码审查，支持数据科学家将ML解决方案工业化，并维护技术、架构和操作文档。
任职要求
- 熟练使用Databricks，包括MLflow、Unity Catalog、Delta Lake、Databricks Workflows、Model Registry、Model Serving和Databricks Asset Bundles（DABs）。
- 具备在生产环境中开发、操作和监控机器学习模型的丰富经验。
- 有特征工程和超参数调优的经验。
查看英文原文
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
About the Opportunity
We are looking for a Senior Machine Learning Engineer to lead the development, industrialization, and evolution of Machine Learning products at an enterprise scale.
This professional will work at the intersection of Data Science, Data Engineering, and MLOps, taking ownership of the architecture, governance, operationalization, and support of ML solutions in production. The role requires end-to-end ownership, from solution design and development to monitoring, documentation, and continuous improvement.
Key Responsibilities
- Lead MLOps initiatives, including model training, deployment, model serving, monitoring, and lifecycle governance.
- Develop and maintain ETL/ELT pipelines, DAGs, and data and Machine Learning workflows using PySpark.
- Design and manage enterprise Feature Stores, ensuring feature versioning, lineage, and consistency between training and inference.
- Develop, validate, and operationalize Machine Learning models for different analytical use cases.
- Implement model versioning strategies, Champion/Challenger approaches, rollouts, model promotion, and Model Registry management.
- Ensure observability, quality, traceability, reproducibility, and governance across data, features, pipelines, and models.
- Design and implement CI/CD processes and Infrastructure as Code (IaC) for Machine Learning platforms.
- Define architectural standards, engineering best practices, and MLOps guidelines.
- Conduct technical code reviews, support Data Scientists in industrializing ML solutions, and maintain technical, architectural, and operational documentation.
Required Qualifications
- Advanced experience with Databricks, including MLflow, Unity Catalog, Delta Lake, Databricks Workflows, Model Registry, Model Serving, and Databricks Asset Bundles (DABs).
- Strong experience developing, operationalizing, and monitoring Machine Learning models in production.
- Experience with Feature Engineering, hyperparameter optimization, model evaluation, and supervised and unsupervised learning algorithms.
- Experience with enterprise Feature Stores, including feature versioning and point-in-time lookups.
- Knowledge of Data Drift, Concept Drift, Performance Drift, and observability of data and ML pipelines.
- Experience building CI/CD pipelines, managing DEV, QA, and PROD environments, and implementing Infrastructure as Code.
- Experience with automated testing for data and Machine Learning pipelines.
- Experience with distributed processing and Spark workload optimization.
- Strong proficiency in Python, PySpark, SQL, MLflow, Spark MLlib, and key Machine Learning ecosystem libraries.
- Knowledge of secure credential and secrets management, such as Service Principals, Key Vault, or equivalent solutions.
- Experience with Azure DevOps or equivalent tools.
Languages
- Intermediate English.
- Ability to interact with global teams and produce technical documentation in English.
Nice to Have
- Databricks Certified Machine Learning Professional – highly desirable.
- Databricks Certified Data Engineer Professional.
- Experience with GenAI, LLMOps, and RAG architectures.
What We’re Looking For
We are looking for a highly technical, hands-on professional with a strong architectural mindset, capable of transforming analytical models into scalable, production-ready solutions.
Beyond developing models, this professional will be responsible for ensuring that Machine Learning solutions are governed, observable, auditable, reproducible, and sustainable throughout their lifecycle, while leading new initiatives and continuously evolving the organization's data and MLOps platform.
Our benefits:
-Health and dental insurance
-Meal and food allowance
-Childcare assistance
-Extended paternity leave
-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
-Profit Sharing and Results Participation (PLR);
-Life insurance
-Continuous learning platform (CI&T University);
-Discount club
-Free online platform dedicated to physical, mental, and overall well-being
-Pregnancy and responsible parenting course
-Partnerships with online learning platforms
-Language learning platform
And many more!
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
Originally posted on Himalayas