Senior Software Developer, ML Engineer

Jobtailor; Manaus; Presencial; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

Jobtailor in Manaus, Brazil, seeks an ML/Data Science professional to build and optimize models for edge devices, with emphasis on memory and latency constraints. You will implement quantization and model compression, and analyze mobile logs to drive data collection efforts.

Working with Kubeflow/MLflow/DVC, you will deploy models, collaborate with mobile teams, and monitor drift to trigger retraining and updates as needed. Strong English and embedded systems knowledge are required.

Qualificações

• 2–4 years of data science experience with applied ML.
• Strong programming fundamentals and clean code.
• Proficiency in Python and ML libraries; embedded-model formats.
• Understanding of embedded systems and hardware constraints.
• Advanced English for reading, writing, and conversation.
• Degree in CS/CE/EE with embedded emphasis or Data Science.

Responsabilidades

• Develop and optimize ML models for edge devices with limited resources.
• Convert, compress, and quantize models for low latency and memory efficiency.
• Analyze data from mobile app logs; propose new data collection if needed.
• Implement MLOps pipelines for versioning, validation, and deployment.
• Collaborate with mobile dev and framework teams to productionize models.
• Monitor data and concept drift; propose retraining updates.

Conhecimentos

Machine Learning

Data Science

Model Compression

Quantization

TensorFlow Lite

ExecuTorch

ONNX Runtime

Data Structures

Algorithms

Git Version Control

Formação académica

Master's Degree in ML/AI

Ferramentas

Kubeflow

MLflow

DVC

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Descrição da oferta de emprego

• Develop and optimize machine learning models for deployment on resource-constrained devices (edge computing, smartphones, and embedded systems)
• Convert, compress, and quantize models (TensorFlow Lite, ExecuTorch, ONNX Runtime) to ensure low latency and efficient memory usage
• Perform extraction, transformation, and analysis of data from mobile application logs and propose new data collection if necessary
• Implement MLOps pipelines for versioning, validation, and continuous deployment of embedded models
• Collaborate with mobile development and framework teams to integrate predictive models into production
• Monitor data and concept drift in deployed models, proposing retraining and updates

Requirements

• Proven experience (2 to 4 years) in data science with a focus on applied machine learning
• Solid programming fundamentals, including data structures, algorithms, Git version control, and writing clean code
• Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow/PyTorch
• Experience with at least one embedded model format: ONNX, TensorFlow Lite, or ExecuTorch
• Good understanding of embedded systems and hardware constraints (memory, CPU, battery)
• Degree in Computer Science, Computer Engineering, Electrical Engineering with emphasis on embedded systems, Data Science, or related fields
• Advanced English for reading, writing, and conversation
• Familiarity with mobile development (Android/Kotlin) to support integration is a plus
• Practical knowledge of model optimization for the edge (pruning, quantization, knowledge distillation) is a plus
• Experience with MLOps frameworks (Kubeflow, MLflow, DVC) is a plus
• Knowledge of signal processing (audio, accelerometer, gyroscope) for mobile device models is a plus
• Familiarity with deployment across heterogeneous environments (ARM, mobile GPU, DSP) is a plus
• Master's degree or postgraduate studies in ML/AI will be considered a plus

Core Competencies

Demonstrates expertise in developing and optimizing machine learning models for resource-constrained devices, with a strong focus on MLOps practices and model optimization techniques. Proficient in Python and familiar with embedded systems, ensuring efficient integration and deployment of predictive models.

Highest-signal resume keywords

• Machine Learning Model Development
• MLOps Implementation
• Python Programming
• Embedded Systems Knowledge
• Model Optimization Techniques

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Data Science
• Model Compression
• Quantization
• TensorFlow Lite
• ExecuTorch
• ONNX Runtime
• Data Structures
• Algorithms
• Git Version Control

Soft Skills

• Collaboration
• Communication

Certifications & Qualifications

• Master's Degree in ML/AI

Industry Keywords

• Edge Computing
• Mobile Development
• Data Transformation
• Concept Drift Monitoring
• Signal Processing

Tools & Technologies

• NumPy
• Pandas
• Scikit-learn
• TensorFlow
• PyTorch
• Kubeflow
• MLflow
• DVC