Machine Learning Engineer

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 Originally posted on Himalayas