FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining neural network-based solutions, particularly in Keyword Spotting, while effectively collaborating with teams and documenting processes. Proficient in Python programming and familiar with machine learning frameworks such as TensorFlow and PyTorch.
Highest-signal resume keywords
Machine LearningDeep LearningPython ProgrammingTensorFlowPyTorch
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Neural Network ArchitecturesRNNCNNTransformerKeyword DetectionFew-Shot LearningSpeech RecognitionEmbedded ML Model OptimizationCode Version ControlGit
Soft Skills
Clear DocumentationAnalytical SkillsCollaboration
Certifications & Qualifications
Bachelor's Degree in Computer EngineeringBachelor's Degree in Computer Science
Industry Keywords
Keyword SpottingAudio ProcessingImage Processing
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Research, implement, and maintain neural network-based Keyword Spotting (KWS) solutions in collaboration with the development team
- Participate in defining and improving products, projects, and processes
- Identify and analyze requirements proposed by clients
- Document activities clearly and systematically
Requirements
What you’ll need- Experience in software development or research in Machine Learning/Deep Learning
- Knowledge of neural network architectures: RNN, CNN, and Transformer
- Python programming
- Code version control with Git
- Experience using frameworks such as TensorFlow or PyTorch
- Advanced English proficiency for conversation, reading, and writing
- Bachelor's degree in Computer Engineering or Computer Science
- Experience with Keyword Detection (KWD), Few-Shot Learning, optimization of embedded ML models, Speech Recognition, or neural-network-based audio/image processing is a plus
Benefits
Comp & perks- 40-hour workweek under Brazil's CLT employment regime
- Flexible working hours
- Hybrid work: 4 days in the office and 1 day working from home
- Gympass (Wellhub)
- Workplace exercise sessions
- Quick massage
- Psychological support
- Medical and dental insurance for you and your family
- Childcare assistance
- 120 days of maternity leave
- Extended paternity leave
- Private pension plan
- Incentive program for continuing education and specialization
- Incentives for fluency in other languages
- Weekly lecture series on global trends
- Flexible meal and food allowances
- Transportation subsidy/allowance
- Parking for employees working in the office
- Annual performance bonus
- Awards for exceptional performance
- Committees focused on well-being, diversity, mental health, social initiatives, sustainability, and the inclusion of women in technology
- Modern offices with collaborative environments, social areas, a decompression room, kitchenette, and coffee machine
- Partnerships offering benefits and discounts