SeniorPrincipal Machine Learning Engineer

Sigma Software; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A cutting-edge tech firm in São Paulo is seeking an experienced Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning models. You will build robust data processing pipelines, collaborate closely with teams, and optimize models for performance and efficiency. The ideal candidate has over 5 years of experience, strong proficiency in Python, and familiarity with ML frameworks like TensorFlow and PyTorch. The role allows for remote work and offers a full-time position.

Qualificações

• 5 years of experience in machine learning engineering or applied AI.
• Strong proficiency in Python and popular ML frameworks.
• Proven track record of building, deploying, and optimizing ML models.

Responsabilidades

• Lead the end-to-end design of machine learning models.
• Build and maintain data processing pipelines.
• Collaborate with various teams to define ML requirements.

Conhecimentos

Python

TensorFlow

PyTorch

Scikit-learn

SQL

AWS

Azure

GCP

CI/CD

Problem-solving

Descrição da oferta de emprego

Responsibilities:

• Lead the end-to-end design development and deployment of advanced machine learning models for production environments
• Build and maintain robust data processing pipelines for training evaluation and inference
• Collaborate closely with data scientists, software engineers, and product managers to define ML requirements and deliver impactful solutions
• Optimize models for performance, accuracy, and efficiency through iterative experimentation and tuning
• Integrate ML solutions seamlessly into existing applications and services
• Implement best practices in ML engineering including reproducibility, version control, and monitoring
• Stay informed about emerging ML/AI technologies and assess their potential for integration
• Mentor junior engineers to strengthen the team's technical capabilities
• Contribute to architectural planning and strategic decision-making for AI/ML initiatives

Qualifications:

• 5 years of experience in machine learning engineering or applied AI
• Strong proficiency in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Proven track record of building, deploying, and optimizing ML models in production environments
• Strong understanding of data processing workflows and software engineering best practices
• Strong knowledge of SQL database systems
• Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines
• Excellent problem-solving, communication, and collaboration skills
• Upper-Intermediate level of spoken and written English

Remote Work:

Yes

Employment Type:

Full-time

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