Machine Learning Specialist

📋 Description

• Design, develop, train, validate, and evaluate ML models for business use cases.
• Analyze large datasets to extract patterns and insights for decision-making.
• Prepare, clean, normalize, structure data for predictive modeling.
• Develop analytical models, data products, dashboards, and visualizations.
• Integrate ML models into applications and workflows.
• Gather and document business and technical requirements for AI initiatives.

🎯 Requirements

• 6+ years of professional experience with statistical and programming languages for data analysis
• 6+ years designing and implementing analytical and quantitative models.
• 6+ years preparing/transferring data for predictive modeling.
• 6+ years applying AI/ML to real-world business challenges.
• Strong data analysis methodologies, statistical techniques, predictive modeling, and ML concepts.
• Ability to translate analytical results into practical recommendations and work with large datasets.

🎁 Benefits

• Fully remote working arrangement.
• Opportunity to work on AI, ML, analytics, and data-driven initiatives.
• Exposure to complex business problems and large-scale datasets.
• Cross-functional collaboration with data, engineering, analytics, and project teams.
• Opportunity to provide technical leadership and influence product development.
• Environment focused on responsible and ethical AI use.