Senior Machine Learning Engineer

OpenTeams is dedicated to unlocking human potential through empowering AI solutions. They are seeking a Senior Machine Learning Engineer to support deep learning model development for customer behavior prediction, collaborating with data scientists and engineers to optimize 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