Senior Machine Learning Engineer
Encontrado en: Talent MX C2 - hace 2 semanas
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 conception to deployment, ensuring that they meet business requirements and maintain momentum and direction until delivery. Collaborate with developers, data engineers, and business process stakeholders to gather requirements and identify areas for improvement. Evaluate and select appropriate machine-learning techniques and algorithms to solve specific problems. Deploy machine learning models into a large-scale AWS environment, including architecture design and deep knowledge of AWS best practices. Implement and optimize machine learning models and technologies using Python, TensorFlow, Pandas, and similar. Perform statistical analysis and fine-tuning using test results. Provide guidance and support to members of the team, mentoring in best practices for machine learning management.
Requirements and Skills
5+ 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, and 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. Significant experience with ML management technologies and deployment techniques. Must include enterprise experience with AWS and Docker. Examples of relevant (but not required) AWS services: Amazon Sagemaker, EC2, Lambdas, DynamoDB, RedShift.
Education
BS in Computer Science, Mathematics, or similar field; Master’s degree is a plus.-
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