Senior Machine Learning Engineer

We are seeking a hands-on Senior Machine Learning Engineer to architect, build, and own end-to-end production ML systems for a growing enterprise SaaS platform.

This role focuses on developing intelligent systems that classify, normalize, and enrich large volumes of complex business and transactional data using machine learning, NLP, and modern AI technologies.

• Architect and develop end-to-end production ML systems.
• Build classification, categorization, entity-matching, and data-normalization models.
• Develop scalable ML pipelines for training, inference, and deployment.
• Implement confidence scoring, model monitoring, drift detection, and retraining.
• Leverage Python, PyTorch, NLP, embeddings, and LLMs where appropriate.
• Build reliable MLOps infrastructure supporting multiple enterprise customers.
• Own technical decisions and collaborate with engineering, data science, and product teams.

• 6+ years of ML Engineering, Applied AI, or related experience.
• Strong Python and experience with PyTorch, Tensor Flow, or scikit-learn.
• Proven end-to-end ownership of production ML systems.
• Experience with classification, NLP, entity matching, or similar modeling challenges.
• Strong MLOps experience, including deployment, monitoring, and retraining.
• Experience with AWS, Sage Maker, Docker, Kubernetes, or comparable cloud infrastructure.
• Excellent problem-solving, architecture, and communication skills.

Ideal Candidate:
An engineer who can independently design, build, deploy, monitor, and improve scalable machine learning systems - not simply train models or maintain existing infrastructure.