Senior Machine Learning Engineer

🔥 21 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• Lead the development, industrialization, and evolution of Machine Learning products at enterprise scale • Own the architecture, governance, operationalization, and support of ML solutions in production • Manage end-to-end solution design and development, monitoring, documentation, and continuous improvement • 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 and support Data Scientists in industrializing ML solutions • Maintain technical, architectural, and operational documentation • Lead new initiatives and continuously evolve the organization's data and MLOps platform

🎯 Requirements

• 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 • Intermediate English • Ability to interact with global teams and produce technical documentation in English • Databricks Certified Machine Learning Professional is highly desirable • Databricks Certified Data Engineer Professional • Experience with GenAI, LLMOps, and RAG architectures

🏖️ 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 • Health and Well-being team, inclusion specialists, and affinity groups • Support and accommodations for people with disabilities during the selection process