Machine Learning Engineer

dhauz; Várzea Grande; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A rapidly scaling AI start-up is seeking a talented Machine Learning Engineer to develop advanced machine learning solutions. The role involves close collaboration with data scientists and engineers, designing models, and keeping updated on innovations. Candidates should have a Bachelor's or Master's degree, 3-5 years of relevant experience, and a strong knowledge of programming languages. This position is 100% remote and offers a range of benefits, including health insurance and flexible hours.

Serviços

Flexible benefits card

Health insurance

Dental plan

Extended maternity and paternity leave

Wellhub

Profit sharing

English training subsidy

Flexible working hours

Birthday day off

Qualificações

• 3-5 years of experience in developing and implementing machine learning models.
• Strong knowledge of machine learning algorithms and techniques.
• Experience with building and deploying on cloud platforms.

Responsabilidades

• Design, develop, and deploy advanced machine learning algorithms.
• Collaborate with cross-functional teams to deliver AI-driven solutions.
• Monitor and maintain deployed models for optimal performance.

Conhecimentos

Machine learning algorithms

Python

Data structures

Statistics

English proficiency

Formação académica

Bachelor’s or Master’s degree in Machine Learning, Computer Science, or a related field

Ferramentas

TensorFlow

PyTorch

scikit-learn

Descrição da oferta de emprego

Company Description DHAUZ North America is a rapidly scaling AI start-up offering consulting and product development capabilities to high growth organizations. The offerings will range from providing strategic advice through full AI product development. We are expanding our Data Science team and are looking for a talented Machine Learning Engineer to contribute to AI initiatives and deliver transformative solutions to our clients.

Role Description

As a Machine Learning Engineer at DHAUZ North America, you will be instrumental in the development and implementation of advanced machine learning solutions. We are looking for an individual with a strong inclination towards innovation, someone who consistently experiments with new ideas, pushes boundaries, and drives progress. You will work closely with data scientists, engineers, and business consultants to ensure the successful delivery of AI projects. Your role will encompass designing and executing machine learning models, staying updated on industry trends, and contributing to team innovation. You should be committed to managing problems from beginning to end and willing to acquire any necessary knowledge to complete tasks effectively.

Key Responsibilities

• Design, develop, and deploy advanced machine learning algorithms and models that solve real-world problems
• Collaborate with cross-functional teams to identify and implement AI-driven solutions, understanding complex business challenges and delivering AI-powered solutions
• Design and build data pipelines for efficient model training and deployment, ensuring models are production-ready
• Conduct experiments and analyze results to improve model performance and accuracy
• Contribute to projects that require cutting-edge technology and innovative approaches
• Stay up-to-date with the latest advancements in machine learning and AI, engaging with the latest developments in the field
• Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
• Monitor and maintain deployed models to ensure they continue delivering value

Qualifications

• Bachelor’s or Master’s degree in Machine Learning, Computer Science, or a related field
• 3-5 years of experience in developing and implementing machine learning models
• Strong knowledge of machine learning algorithms and techniques
• Experience with programming languages such as Python, R, or Java
• Solid understanding of statistics, mathematics, and data structures
• Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn
• Experience with building and deploying on cloud platforms (AWS, GCP, or Azure) and working with containerization technologies
• Proven proficiency in English
• Preferred Qualifications:
  • Experience with NLP, computer vision, or reinforcement learning
  • Familiarity with MLOps practices and tools
  • Contributions to open-source ML projects or research publications
  • Experience with distributed computing and big data technologies

Type of employment

• ✅ 100% remote

Benefits

• Flash flexible benefits card (food / meal)
• Health insurance
• Dental plan
• Extended maternity and paternity leave
• Wellhub
• Profit sharing (PLR)
• English training subsidy and support for online courses, studies, and events
• ⏰ Flexible working hours
• Birthday day off

Referral bonus for new hires

We urge you to apply even if you don't meet all the qualifications. Not every strong candidate will tick every box. Research indicates that individuals from underrepresented groups often face imposter syndrome and doubt their candidacy. Please don't rule yourself out prematurely—apply if you're interested. Given that our AI systems have significant social and ethical impact, we value diverse perspectives and strive for a diverse team.