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Artificial Intelligence Machine Learning Engineer
hace 2 meses
We are seeking a highly skilled Machine Learning Engineer to join our team at Welocalize. As a trusted global transformation partner, we accelerate the global business journey by enabling brands and companies to reach, engage, and grow international audiences.
The Machine Learning Engineer will be 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 other technologies.
Key Responsibilities- Design and develop machine learning models and algorithms for various aspects of the localization and business workflow processes, including machine translation, LLM finetuning, 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
- Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems
- Implement and optimize machine learning models and technologies using Python, TensorFlow, and other relevant tools and frameworks
- Perform statistical analysis and fine-tuning using test results
- 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
- Keep abreast of developments in the field, with a dedication to learning in the role
- Document diligently and communicate thoughtfully about ML experimentation, design, and deployment
- Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Data Science or similar discipline (or equivalent experience)
- Technical Skills and Experience: 3+ years experience as a Machine Learning Engineer or similar role
- 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. Experience with SNS, Sagemaker and other ML management technologies and deployment techniques
