Applied Machine Learning Engineer

BJAK is hiring an Applied Machine Learning Engineer to build and improve ML systems powering its AI-native applications. The role owns practical ML work across model development, evaluation, production deployment, monitoring, and improvement based on real-world feedback.

Responsibilities:

• Build and improve ML systems that power our AI-native applications
• Work on classification, retrieval, ranking, personalization and evaluation, taking ownership from model development to production deployment
• Build and improve ML models for classification, ranking, retrieval and personalization
• Develop efficient classifiers and optimize model accuracy, precision, latency and cost
• Improve search relevance and context retrieval using embeddings, hybrid search and reranking
• Build personalization models that learn from user behavior while respecting privacy
• Develop evaluation pipelines, labeled datasets and metrics to measure model quality
• Fine-tune and adapt existing models when supported by sufficient data
• Build and maintain ML training, inference and deployment pipelines
• Debug production issues, monitor model performance and ship improvements based on real-world feedback

Requirements:

• Strong foundations in machine learning and modern neural architectures
• Hands-on experience building and deploying ML models in production
• Experience in classification, ranking, retrieval, recommendation systems or personalization
• Understanding of model evaluation, experimentation and performance metrics
• Comfortable writing production-quality code and working with real-world datasets
• Able to balance model quality, latency, cost and reliability
• Strong ownership, problem-solving skills
• Joining our team requires the ability to bring structure, exercise judgment and execute independently