Machine Learning Engineer

Summary

Join Halo, an international interactive media agency, as a Machine Learning Engineer! Build, optimize, and deploy ML models in production. The ideal candidate possesses strong Python skills, experience with ML frameworks, and understands model deployment. You will develop and optimize machine learning models, work with datasets, implement deep learning models, and deploy models using various architectures. Collaboration with software engineers and data teams is crucial. This is a 100% remote position with a USD salary and the opportunity to work on challenging US projects.

Requirements

• Python (Pandas, NumPy, Scikit-Learn, TensorFlow/PyTorch)
• Strong knowledge of ML algorithms (supervised, unsupervised, reinforcement learning)
• Experience with feature engineering and model evaluation
• Familiarity with MLOps tools (Kubeflow, MLflow, Docker, CI/CD for ML)
• Experience with cloud platforms (AWS, GCP, or Azure) for model deployment

Responsibilities

• Develop and optimize machine learning models for real-world applications
• Work with datasets to preprocess, clean, and engineer features
• Implement and fine-tune deep learning models (CNNs, RNNs, transformers)
• Deploy ML models using APIs, microservices, or serverless architectures
• Monitor and maintain deployed models, ensuring performance over time
• Collaborate with software engineers and data teams to integrate ML solutions

Preferred Qualifications

• Experience with Node.js and JavaScript frameworks (Express, NestJS)
• Knowledge of MongoDB and general database design for ML applications
• Understanding of full-stack development to integrate ML models into applications

Benefits

• 100% Remote Work
• Salary in USD!