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Machine Learning Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Pomelo AI places the best offshore AI talent with leading tech companies across the globe. We enable hard\-working and ambitious talent to work remotely from their home countries, while gaining exposure into how the world’s top companies operate. **ABOUT THE ROLE** We are seeking an experienced Machine Learning Engineer to design, develop, and deploy machine learning models for real\-world applications. The ideal candidate is passionate about AI, has strong software engineering skills, and can translate business or research requirements into production\-ready solutions. This is a **hands\-on engineering role**, where you’ll work on environment setup, scalable API design, and database architecture. **KEY RESPONSIBILITIES** * Design, implement, and optimize machine learning models for production environments * Collaborate with data engineers, software engineers, and product teams to integrate ML solutions * Perform data preprocessing, feature engineering, and exploratory data analysis * Develop and maintain ML pipelines, including model training, validation, and deployment * Monitor model performance and implement improvements or retraining as needed * Stay up\-to\-date with the latest ML research, techniques, and best practices * Contribute to technical documentation and knowledge sharing **QUALIFICATIONS** * Bachelor’s degree in a technical field * Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit\-learn * Solid understanding of machine learning algorithms, statistics, and probability * Experience with data preprocessing, feature engineering, and model evaluation * Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus * Ability to write clean, maintainable, and well\-documented code * Excellent problem\-solving skills and ability to work independently or in a team * Ability to work in a US time zone, Monday to Friday (8 hours per day) **NICE\-TO\-HAVES** * Master’s or PhD in Computer Science, Machine Learning, or a related field * Experience in NLP, computer vision, recommendation systems, or reinforcement learning * Exposure to MLOps tools and workflows **BENEFITS** * Competitive pay, always in US dollars * Work remotely from the comfort of your home * Paid holidays and time off * Performance bonus * Global exposure to the world’s best companies bPV7GBjd2b

Source:  indeed View original post
Sofía González
Indeed · HR

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