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hace 2 meses
The Machine Learning Engineer position at Tbo is responsible for designing, developing, and implementing machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and others. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.
Key Responsibilities- Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM fine tuning, and quality assurance.
- Take ownership of key projects from definition to deployment, ensuring that they meet technical requirements and maintain momentum and direction until delivery.
- Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks.
- Deploy machine learning models and algorithms using appropriate techniques and technologies, such as containerization using Docker and deployment to cloud infrastructure.
- Use AWS technologies (including but not limited to Sagemaker, EC2, S3) to deploy and monitor production environments.
- Effective model development: success is evident when the models developed are accurate, efficient, and align with project requirements.
- Positive team collaboration: demonstrated ability to collaborate effectively with various teams and stakeholders, contributing positively to project outcomes.
- Continuous learning and improvement: a commitment to continuous learning and applying new techniques to improve existing models and processes.
- Clear communication: ability to articulate findings, challenges, and insights to a range of stakeholders, ensuring understanding and appropriateness.
- Ability to write robust, production-grade code in Python.
- Excellent communication and documentation skills.
- Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Hands-on, high proficiency experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Experience with natural language processing (NLP) techniques and tools.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience taking ownership of projects from conception to deployment, and mentoring more junior team members.
- Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies.
Education and Experience
BSc in computer science, mathematics or similar field. Master's Degree is a plus. 3+ years' experience as a Machine Learning Engineer or similar role.
