Senior Machine Learning Engineer

FCamara Consulting & Training

Machine Learning Engineer studying data science projects and developing ML pipelines at FCamara. Collaborating on algorithms and data selection for enhanced model performance.

Posted 7/22/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing machine learning models and pipelines, with a strong focus on the Vertex AI ecosystem and GCP data tools. Proficient in Python and TensorFlow, with experience in containerization and CI/CD practices.

Highest-signal resume keywords

Vertex AI EcosystemMachine Learning FrameworksPython ProficiencyDocker ContainerizationGoogle Cloud Professional Machine Learning Engineer Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsStatistical ModelsTensorFlowSQL Query SkillsNoSQL DatabasesREST API DevelopmentCI/CD ToolsFeature EngineeringOptimization AlgorithmsDeep Learning

Soft Skills

Technical CommunicationCollaboration

Tools & Technologies

Vertex PipelinesVertex Model RegistryVertex Feature StoreDockerKubernetesMLflowJenkinsGitAgile MethodologiesGenAI

Certifications & Qualifications

Google Cloud Professional Machine Learning Engineer Certification

Industry Keywords

Data ScienceMachine LearningAIModel DeploymentExperiment Tracking

Tech Stack

Tools & technologies

CloudDockerGoogle Cloud PlatformJenkinsKubernetesMongoDBNoSQLPySparkPythonSparkSQLTensorflow

About the role

Key responsibilities & impact

Study and transform data science projects into efficient machine learning models
Develop and improve model pipelines (development, deployment, and monitoring)
Research and implement machine learning algorithms and tools
Assist with and continuously improve existing notebooks/code and workflows handling large volumes of real-world data to enhance their performance
Contribute to and validate research and selection of appropriate data for models, as well as the best methods for data representation
Research and develop the design, development, testing, and deployment of optimization algorithms, deep learning, and robotics/AI
Develop and validate control and monitoring of algorithms and models in production
Conduct and validate studies and analyses to understand various aspects of data science. Knowledge of Docker.

Requirements

What you’ll need

Advanced experience with the Vertex AI ecosystem for ML lifecycle management (Vertex Pipelines, Vertex Model Registry, Vertex Feature Store)
Strong knowledge of the GCP data ecosystem for feature engineering and distributed processing
Proficiency in Python (knowledge of R and PySpark/Spark is highly desirable)
Deep practical understanding of TensorFlow and modern Machine Learning frameworks
Strong knowledge in creating/understanding statistical and mathematical models and Machine Learning algorithms
Experience with containerization using Docker and microservices orchestration with Kubernetes
Experience developing REST APIs and using CI/CD tools (e.g., Jenkins, Git)
Familiarity with experiment tracking tools (such as MLflow or Vertex AI Experiments)
Strong SQL query skills and experience with NoSQL databases (such as MongoDB)
Practical experience working with Agile methodologies
Advanced English (technical reading, writing, and speaking)
Official Google Cloud Professional Machine Learning Engineer certification
Practical experience with GenAI within Vertex AI (using Model Garden, tuning LLMs such as Gemini)

Benefits

Comp & perks

Position also open to candidates with disabilities (PWD)