Machine Learning Engineer

Job not on LinkedIn

🕒 August 6

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Pomelo

WebsiteLinkedInAll Job Openings

11 - 50 employees

📣 Marketing

📦 Logistics

💼 Consulting

Marketing • Logistics • Consulting

Pomelo is a talent sourcing and hiring platform that specializes in connecting businesses with top offshore talent. The company offers a wide range of highly-skilled professionals who can work remotely full-time, providing services in various roles including project management, marketing, and design. With a focus on cost savings, Pomelo ensures that companies can access the top 1% of talent at significantly reduced costs compared to traditional hiring methods, while managing all aspects of recruitment, compliance, and onboarding.

📋 Description

• 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 • Work on environment setup, scalable API design, and database architecture

🎯 Requirements

• Experienced Machine Learning Engineer • 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 • 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) • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus • Master’s or PhD in Computer Science, Machine Learning, or a related field is a nice-to-have • Experience in NLP, computer vision, recommendation systems, or reinforcement learning is a nice-to-have • Exposure to MLOps tools and workflows is a nice-to-have

🏖️ Benefits

• Competitive pay, always in US dollars • Work remotely from the comfort of your home • Health & wellness benefit • Paid holidays and time off • Performance and referral bonuses • Global exposure to the world’s best companies