Machine Learning Analyst – Embedded Systems

Jobtailor; Manaus; Presencial; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

Jobtailor in Manaus is seeking a highly skilled ML Engineer to apply the latest advances in machine learning to build and validate predictive models, test algorithms, and deploy AI solutions. You will create insights from large datasets, compare methodologies, and present recommendations to stakeholders as you design robust analytics using Python, TensorFlow, and open-source tools.

The role emphasizes integrating AI models into Android devices and automating deployment and validation processes,

Qualificações

• Master's degree in Electrical Engineering, Computer Engineering, or related field.
• Experience developing in Python, C, and C++.
• Experience with Deep Learning techniques.
• Experience with Object-Oriented Programming and Data Structures.
• Familiarity with Deep Learning frameworks such as TensorFlow, Keras, or PyTorch.
• Advanced/Fluent English

Responsabilidades

• Identify opportunities to apply the latest advances in Machine Learning to create, test, and validate predictive models.
• Create algorithms to extract insights from large datasets.
• Compare results from various methodologies and recommend the best techniques to stakeholders.
• Design, develop, and deploy analytical solutions using open-source tools (Python, TensorFlow).
• Develop and integrate automated processes for deployment and predictive validation of AI models.
• Integrate AI models into Android smartphones

Conhecimentos

Advanced English

Stakeholder Engagement

Communication

Formação académica

Master's degree in Electrical Engineering, Computer Engineering, or related field

Ferramentas

Python

C

C++

TensorFlow

Keras

PyTorch

OO Programming

Data Structures

Automated Deployment

Android Integration

Descrição da oferta de emprego

• Identify opportunities to apply the latest advances in Machine Learning to create, test, and validate predictive models;
• Create algorithms to extract insights from large datasets;
• Compare results from various methodologies and recommend the best techniques to stakeholders;
• Design, develop, and deploy analytical solutions using open-source tools (Python, TensorFlow);
• Develop and integrate automated processes for deployment and predictive validation of AI models;
• Integrate AI models into Android smartphones

Requirements

• Master's degree in Electrical Engineering, Computer Engineering, or a related field;
• Experience developing in Python, C, and C++;
• Experience with Deep Learning techniques;
• Experience with Object-Oriented Programming and Data Structures;
• Familiarity with Deep Learning frameworks such as TensorFlow, Keras, or PyTorch;
• Advanced/Fluent English

Core Competencies

Demonstrates expertise in Machine Learning and Deep Learning techniques, with a strong ability to develop and deploy predictive models using Python and relevant frameworks. Proficient in integrating AI solutions into mobile platforms and automating deployment processes.

Highest-signal resume keywords

• Machine Learning
• Deep Learning
• Python Development
• TensorFlow
• Object-Oriented Programming

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Deep Learning
• Python
• C
• C++
• Object-Oriented Programming
• Data Structures
• Algorithm Development
• Predictive Modeling
• Automated Processes

Soft Skills

• Communication
• Stakeholder Engagement

Industry Keywords

• Predictive Models
• AI Integration
• Android Development
• Data Insights

Tools & Technologies

• TensorFlow
• Keras
• PyTorch
• Open-Source Tools