Innovative Ai / Ml Solutions Expert

Bebeemachinelearningengineer; Curitiba; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A cutting-edge tech firm in Brazil is seeking a Machine Learning Engineer to design and implement machine learning models for intelligent decision-making. You will collaborate with cross-functional teams to integrate these models and provide mentorship to junior engineers. Ideal candidates will have a Bachelor's or Master's degree and at least 3 years of experience in machine learning with strong skills in Python and relevant frameworks. This role offers competitive compensation and opportunities for growth.

Serviços

Competitive compensation

Comprehensive benefits package

Opportunities for growth and development

Qualificações

• 3+ years of experience building and deploying ML systems.
• Strong Python skills and experience with machine learning frameworks.
• Deep knowledge of the ML lifecycle: data preparation to deployment.

Responsabilidades

• Design and develop high-quality machine learning models.
• Collaborate with cross-functional teams to integrate ML models into production.
• Mentor junior engineers and contribute to best practices.

Conhecimentos

Python

Machine Learning

TensorFlow

PyTorch

SQL

Data Science

Spark

Ray

Formação académica

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field

Ferramentas

Scikit-Learn

Hugging Face Transformers

Descrição da oferta de emprego

Machine Learning Engineer

As a Machine Learning Engineer, you will design, train, fine-tune, and deploy machine learning models that drive intelligent decision-making.

You'll work hands-on with various ecosystems to craft robust and efficient solutions. We are seeking a talented engineer to join our team.

If you have a passion for machine learning and want to make a real impact, we'd love to hear from you.

About the Role

• Design and develop high-quality machine learning models that meet business requirements.
• Collaborate with cross-functional teams to integrate ML models into production environments.
• Mentor junior engineers and contribute to best practices in ML engineering.

Required Skills and Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
• 3+ years of experience building and deploying ML systems.
• Strong Python skills and experience with PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
• Familiarity with at least two of the following: OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA.
• Knowledge of vector databases, embeddings, and retrieval-augmented generation pipelines.
• Experience working with structured and unstructured data at scale.
• Understanding of SQL and distributed data frameworks like Spark or Ray.
• Deep knowledge of the ML lifecycle: data preparation, training, evaluation, deployment, and monitoring.

Benefits

Competitive compensation, comprehensive benefits package, and opportunities for growth and development.