Machine Learning Engineer – Senior

Mollica IT

Machine Learning Engineer developing and implementing AI applications for Mollica IT. Involved in complete ML lifecycle, collaborating on solutions and CI/CD pipelines.

Posted 7/16/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying Artificial Intelligence applications, with a strong focus on Machine Learning frameworks and practices. Proficient in Python and familiar with MLOps, model lifecycle management, and collaborative development environments.

Highest-signal resume keywords

Machine Learning FrameworksPython ProgrammingMLOps PracticesLarge Language Models (LLMs)AI Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceModel DeploymentInference EndpointsAutomated TestingCI/CD PipelinesModel VersioningExperiment TrackingScalable Code DevelopmentModel Monitoring

Soft Skills

CollaborationClear CommunicationContinuous Learning

Tools & Technologies

PyTorchTensorFlowHugging Face

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Agentic AIModel ReproducibilityMachine Learning Lifecycle

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop and deploy Artificial Intelligence applications, including AI agents, meeting functional and non-functional requirements;
Develop clean, testable, and scalable code for Machine Learning applications;
Create scalable inference endpoints to serve models;
Implement MLOps practices throughout the model lifecycle;
Work with experiment tracking, model registry, and model versioning;
Contribute to CI/CD pipelines for data and models;
Implement automated testing and rollout/rollback strategies for Machine Learning models;
Collaborate with the team on the development and evolution of AI solutions.

Requirements

What you’ll need

Practical or academic experience with Machine Learning frameworks and LLMs such as PyTorch, TensorFlow, Hugging Face, or similar;
Strong knowledge of Python;
Knowledge of Agentic AI concepts and implementations;
Understanding of the Machine Learning and Large Language Model (LLM) lifecycle;
Familiarity with deploying and running Machine Learning models;
Knowledge of best practices for model reproducibility and monitoring;
Ability to continuously learn, collaborate in a team, and communicate technical concepts clearly;
Comfortable working in a collaborative environment and developing with support from more experienced professionals;
Bachelor's degree (completed) required;
Language: Advanced English for conversation (there will be an interview stage in English).

Benefits

Comp & perks

Healthcare coverage for employees and dependents with nationwide coverage (Bradesco or Unimed);
Nationwide dental coverage;
Meal or food allowance (employee's choice);
Childcare assistance;
Life insurance for employees and dependents;
Gympass for employees and dependents;
Employee Assistance Program (EAP) offering Financial Assistance, Legal Assistance, Social Assistance, and Psychological Assistance (24/7);
Discounts and special rates with universities (Mackenzie, SENAC, FIA, FIAP and BBS Business School) and language schools (CNA, Cultura Inglesa, Wizard, CCAA, Indeed);
Discounts on fee packages and special banking rates with Itaú and Bradesco;
Option for payroll-deductible loans (consigned credit), with repayment deducted directly from the employee's salary;
Reimbursement program for certain external certifications;
Training: TCS provides a training and development platform with remote and in-person courses in soft skills, technologies, and domains across more than 15,000 topics;
Long-service awards: TCS recognizes employees for commitment and loyalty during their employment (awards at 3, 5, and 10 years and every 5 years thereafter);
Referral bonus for new hires;
TCS Fit4life – a program to encourage physical exercise for employees, including a schedule of online functional training sessions;
International experience: depending on your skills and business needs, you may be eligible to apply for positions abroad (within and outside Latin America);
And others.