Machine Learning Engineering Analyst – Mid-Level

Junto Seguros

. Develop, train, and deploy machine learning models using advanced techniques .

Posted 9/30/2026full-timeCuritiba • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models and Generative AI agents, with proficiency in Python and relevant libraries. Strong ability to apply MLOps techniques for optimizing workflows and ensuring model performance in production environments.

Highest-signal resume keywords

Machine Learning Model DevelopmentGenerative AI AgentsPython ProgrammingMLOps TechniquesAWS SageMaker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIPythonTensorFlowPyTorchScikit-learnMLOpsReinforcement LearningData OptimizationDeep Learning Techniques

Soft Skills

Strong CommunicationTeamworkCritical ThinkingProblem-SolvingProactive Attitude

Tools & Technologies

DockerAWS SageMakerAWS BedrockAWS AgentCore

Certifications & Qualifications

Degree in Computer ScienceGraduate Degree in Machine Learning

Industry Keywords

Data EngineeringObservability LayersContinuous IntegrationOpen-Source ContributionsPublications at Conferences

Tech Stack

Tools & technologies

AWSDockerJavaOpen SourcePythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Develop, train, and deploy machine learning models using advanced techniques
Collaborate with the data engineering team to integrate models into production systems
Add observability layers for the models developed in the company’s data lake
Develop Generative AI agents to accelerate the company’s processes
Monitor and optimize model performance in production
Apply MLOps techniques to improve the efficiency and scalability of machine learning workflows
Document processes, models, and results clearly and accessibly
Participate in code reviews and promote development best practices

Requirements

What you’ll need

Proven experience developing and deploying machine learning models and Generative AI agents
Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn
Practical knowledge of Docker, AWS SageMaker, and AWS Bedrock
Experience with MLOps techniques and continuous integration
Ability to work with large volumes of data and optimize models
Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
Proactive attitude and ability to work independently
Strong communication and teamwork skills
Critical thinking and complex problem-solving abilities
Commitment to quality and excellence
Eagerness to learn and keep up to date with new technologies and methodologies
Focus on delivering results for internal and external clients
Graduate degree or specialization in Machine Learning, Data Science, or related fields is a plus
Experience with other machine learning tools and platforms
Experience with AWS AgentCore
Knowledge of advanced deep learning techniques
Programming skills in other languages, such as R or Java
Experience with reinforcement learning projects
Contributions to open-source projects or publications at conferences

Benefits

Comp & perks

Meal and food allowance (flexible benefits card)
Christmas special benefit – double food allowance in December
Extended maternity leave
Extended paternity leave
Transportation allowance
Birthday day off
SulAmérica health insurance
Dental insurance
Wellhub (formerly Gympass)
Conexa Saúde (therapy, nutritionist, and medical consultations)
Private pension plan
Profit-sharing bonus
Childcare or nanny allowance
Life insurance
Semi-flexible working hours (40 hours per week)
Access to a Corporate University offering a variety of courses
Incentives for employee development
Benefit of working from home two days per week