Machine Learning Architect

Há 4 dias

Porto Alegre, Rio Grande do Sul, Brasil beBeeMachineLearning Tempo inteiro R$100.000 - R$150.000

Job Description

We are seeking a Machine Learning Architect to design and develop robust, scalable architectures for deploying and managing machine learning applications. This role involves contributing to the development of effective and efficient ML systems and applications, collaborating with data scientists and engineers to translate business needs into technical solutions.

Responsibilities

  • Design and develop core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
  • Contribute to the development of robust scalable architectures and infrastructure for deploying and managing machine learning applications.
  • Collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
  • Stay ahead of the curve by actively exploring and implementing the latest tools, frameworks, and offerings in the ML landscape.
  • Facilitate collaborative problem-solving within the team by actively listening, communicating effectively, and mentoring other engineers.

Required Skills and Qualifications

Technical Skills:

  • Strong experience with LLM and AI; proficient in Python or Shell; strong focus on clean, maintainable, and testable code.
  • Advanced English level.
  • Experience with distributed systems and scalable architectures to handle large-scale ML applications.
  • Experience building, deploying, and maintaining ML systems using Scikit-learn, TensorFlow, MLFlow, Kubeflow, PyTorch, and related tools.
  • Experience with MLOps principles and CI/CD for ML projects.
  • Familiarity with ML concepts, algorithms, frameworks, and ML model lifecycles.

Professional Skills:

  • Stakeholder management and ability to liaise between clients and key stakeholders to gain buy-in and trust.
  • Resilience in ambiguous situations and adaptability to changing challenges.
  • Willingness to take on risks or conflicts and manage them effectively.
  • Mentoring, motivating others, and influencing teammates to take accountability for their work.

Benefits

We offer a dynamic and inclusive work environment that fosters continuous learning and growth. Our team is committed to delivering extraordinary impact together with clients. We believe in shaping careers through collaboration and support.

Others

We are an equal opportunities employer and welcome diverse perspectives and experiences. If you are passionate about machine learning and want to make a meaningful contribution, we encourage you to apply.

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