Machine Learning Engineer
Yesterday
Description
• Develop and Implement Machine Learning and AI Models: Design, build, and deploy advanced machine learning models. • Improve model performance by conducting feature engineering, hyperparameter search, and metric selection. • Data Analytics and Processing: Analyze large, complex datasets to extract actionable insights and inform model development. • Cloud-Native Solutions and MLOps: Develop and maintain cloud-native machine learning solutions using any of the major clouds. • Quality Assurance and Best Practices: Ensure the highest quality of machine learning models through rigorous testing and validation.
Requirements
• 1 - 3 years experience practicing ML/AI data engineering • Degree in Computer Science, Engineering, Mathematics, or a related field. • Strong mathematical skills, particularly in statistics and linear algebra. • Experience with NLP and LLM-based technologies and frameworks. • Proficiency in programming languages such as Python • Experience with cloud-based technologies AWS, GCP, and/or Azure. • Expertise in training and deploying ML/AI-powered solutions in cloud environments.
Benefits
• Fully remote • Flexible Schedule • Unlimited Paid Time Off (PTO) • Paid parental/bereavement leave • Worldwide recognized clients to build skills for an excellent resume • Top-notch team to learn and grow with
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