Senior Software Engineer; Machine Learning

Responsibilities

• Architect, build, and deploy high-performance machine learning systems across the entire ML lifecycle.
• Scale data engineering and feature pipelines using SQL, Python, and distributed computing frameworks like Spark or Ray.
• Train, tune, and scale supervised learning models using gradient boosting (XGBoost, Light
  
  GBM) and Deep Learning architectures (PyTorch, Tensor Flow).
• Write clean, object-oriented, and modular production code to transition models from research to high-performance serving environments.
• Design and maintain robust MLOps pipelines, including automated retraining, versioning, and CI/CD for machine learning.
• Monitor production models for data drift and performance degradation, implementing automated alerting and fallback mechanisms.
• Design rigorous A/B and multivariate tests to measure the business impact of ML models.

• 5–8+ years of experience as a Machine Learning Engineer or Software Engineer focusing on ML systems.
• Expert-level Python and strong proficiency in a high-performance language such as C++, Java, Scala, Go, or Rust.
• Strong software engineering fundamentals, including OOP, data structures, and algorithm design.
• Deep experience deploying machine learning models into highly concurrent, low-latency production environments.
• Hands-on experience with distributed computing and big data processing (Apache Spark, Kafka, Flink).
• 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.

• Experience in Ad Tech, Mar Tech, or high-scale recommendation systems.
• Experience with Agentic/GenAI development, including designing agentic workflows or utilizing LLMs.

Fusemachines is a leading AI strategy, talent, and education services provider on a mission to democratize AI. Founded in 2013, the company provides enterprise AI products and services to help organizations implement and scale AI across various industries, including retail, manufacturing, and government. With a global presence in North America, Asia, and Latin America, Fusemachines leverages proprietary AI Studio and AI Engines to drive digital AI transformation for clients worldwide.