Chief Machine Learning Solutions Architect

1 semana atrás


Buenos Aires, Brasil beBeeMachine Tempo inteiro US$120.000 - US$170.000
Job Description

The Machine Learning R&D Engineer is responsible for the conception, development, and implementation of machine learning solutions to serve our organization.

This includes ownership or oversight of projects from inception to deployment with appropriate technologies. The role also involves responsibility for following best practices to optimize and measure the performance of our models and algorithms against business objectives.

Key Responsibilities:

  • Machine learning model research and development: design, develop, and deploy machine learning models for localization and business workflow processes, including machine translation and quality assurance.
  • Ensure code quality: write robust, well-documented, and structured Python code.
  • Define and design solutions to machine learning problems: work closely with cross-functional teams to understand business requirements and design solutions that meet those needs.
  • Mentorship: guide junior team members and contribute to a collaborative team environment.

Requirements

Excellent, in-depth understanding of machine learning concepts and methodologies, including supervised and unsupervised learning, deep learning, and classification.

Hands-on experience with natural language processing (NLP) techniques and tools.

Ability to write robust, production-grade code in Python.

Excellent communication and documentation skills. Able to explain complex technical concepts to non-technical stakeholders.

Experience taking ownership of projects from conception to deployment. Ability to transform business needs into solutions.

Nice to Have

Experience using Large Language Models in production.

High proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.

Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a plus.

Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc.

Benefits

National public holidays.

Vacations: 3 weeks per year.

Work laptop provided.

About Us

We are a global organization that provides translation, talent, training, teams, and testing services to a range of clients worldwide.

We aim to facilitate global communication by bridging the gap between people and cultures, providing simple solutions to complex problems, and outstanding service in 100+ languages.

Company Culture:

Our culture fosters continuous improvement, creativity, sustainability, and community, with a commitment to high-touch human service.

Join our growing staff and boost your career in a global organization



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