Senior Machine Learning Engineer

Responsibilities

• Scale data engineering and feature pipelines using SQL, Python, and distributed computing frameworks
• Architect offline and online feature pipelines and manage real-time feature computation
• Train, tune, and scale supervised learning models using gradient boosting and Factorization Machines
• Design and implement Deep Learning architectures using PyTorch or TensorFlow
• Write clean, object-oriented, and modular production code
• Transition models from research environments to high-performance serving environments
• Design and maintain robust MLOps pipelines including automated retraining and CI/CD
• Monitor production models for data drift and performance degradation
• Design rigorous A/B and multivariate tests to measure business incrementality

Requirements

• 5–8+ years of experience as a Machine Learning Engineer or Software Engineer focusing on ML systems
• Strong software engineering fundamentals (OOP, data structures, algorithm design)
• Expert-level Python and proficiency in a compiled language (C++, Java, Scala, Go, or Rust)
• Deep experience deploying machine learning models into highly concurrent, low-latency production environments
• Hands-on experience with big data processing (Apache Spark, Kafka, Flink) and complex SQL queries
• Proven track record of shipping both tree-based models and neural networks to production
• Solid grasp of statistics, hypothesis testing, and rigorous A/B experiment design

Preferred Qualifications

• Experience designing agentic workflows or utilizing LLMs to automate workflows

About the Company

Fusemachines is a leading AI strategy, talent, and education services provider on a mission to democratize AI, providing enterprise AI products and services globally.