[Remote] Machine Learning/AI Contractor

Descrição da Vaga

Requisitos

• Deliver machine learning and artificial intelligence solutions to support the analytical and automation needs of the project team
• Primary Skill Required for the Role: Node.JS
• Level Required for Primary Skill: Advanced (6-9 years experience)
• Additional Skills Requested for Role: Python AI, Machine Learning, Kafka, Pytorch, Machine Learning Operations (MLOps)
• Need Applied ML Engineer to design, deploy, and operationalize machine-learning models that power the Decision Engine, enabling intelligent selection of the most relevant decision using real-time and historical data
• The ideal candidate has strong experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), MLOps practices (model versioning, monitoring, retraining), and understands explainability, bias, and guardrails in regulated environments
• The engineer will collaborate closely with data engineers, rules engineers, and backend teams to ensure models are reliable, observable, and safely embedded into production decision workflows at scale

Responsabilidades

• The role involves developing, training, and implementing ML and AI models to support analytical and automation needs, while collaborating with technical team members to align solutions with project requirements
• Deliver machine learning and artificial intelligence solutions to support the analytical and automation needs of the project team
• Develop, train, and implement machine learning and AI models using relevant data sources
• Apply techniques such as natural language processing, computer vision, or predictive analytics as needed for project objectives
• Conduct data preprocessing, feature selection, and model evaluation to ensure solution quality
• Deploy AI-driven applications and monitor their ongoing performance in production environments
• Document methodologies and collaborate with technical team members to align solutions with project requirements
• Develop, train, and implement machine learning and AI models using relevant data sources
• Apply techniques such as natural language processing, computer vision, or predictive analytics as needed for project objectives
• Conduct data preprocessing, feature selection, and model evaluation to ensure solution quality
• Deploy AI-driven applications and monitor their ongoing performance in production environments
• Document methodologies and collaborate with technical team members to align solutions with project requirements
• This role focuses on building and integrating Python-based ML models (e.g., propensity, ranking, uplift, or optimization models), serving models via low-latency APIs, and integrating with feature stores, streaming pipelines (Kafka or equivalent), and decisioning services built in Node.js and/or Python