Senior Machine Learning Engineer

OpenTeams is dedicated to unlocking human potential through AI that empowers users. The Senior Machine Learning Engineer will support strategic client engagements focused on deep learning model development, collaborating with data scientists and engineers to enhance models that drive business decisions.

Responsibilities:

• Develop and refine features for deep learning models, working with large-scale customer and behavioral datasets
• Implement model architecture changes informed by recent academic research (e.g., papers from NeurIPS and similar venues)
• Collaborate with client teams to understand business context and translate requirements into technical solutions
• Optimize model training pipelines for efficiency and scalability
• Document approaches, findings, and technical decisions for knowledge sharing across teams
• Participate in code reviews and contribute to engineering best practices

Requirements:

• Strong proficiency with a deep learning framework (e.g. Pytorch, tensorflow)
• Hands-on experience with feature engineering for predictive models
• Solid foundation in machine learning fundamentals (supervised learning, neural network architectures, optimization)
• Ability to read, understand, and implement techniques from ML research papers
• Python proficiency in a data science/ML context
• Comfortable working in ambiguous environments and adapting to unfamiliar tooling
• Experience with time-series or sequential modeling
• MLOps experience (model deployment, monitoring, pipeline orchestration)
• Familiarity with Google Cloud Platform or large-scale distributed training
• Background in causal inference or attribution modeling
• Experience working in consulting or client-facing technical role