Machine Learning Specialist

Tasks

• Analyze large complex datasets
• Apply responsible AI practices
• Assess privacy requirements
• Build data products
• Collaborate with analysts
• Collaborate with data engineers
• Collaborate with developers
• Create dashboards
• Create reports
• Create visualizations
• Design machine learning models
• Develop analytical models
• Develop machine learning models
• Document technical requirements
• Ensure model accountability
• Ensure model transparency
• Escalate technical risks
• Evaluate machine learning models
• Extract meaningful patterns
• Gather business requirements
• Identify technical risks
• Integrate machine learning models into applications
• Manage ethical data practices
• Organize data for predictive modeling
• Organize data for prescriptive modeling
• Prepare clean transform data
• Provide technical guidance
• Provide technical leadership
• Support full stack analytics
• Train machine learning models
• Validate machine learning models

Perks/Benefits

• Cross-functional collaboration
• Exposure to complex business problems
• Fully remote working arrangement
• Opportunity for technical leadership

Skills/Tech-stack

Accountability | Dashboards | Data Analysis | Data Modeling | Data Normalization | Data Visualization | Data cleaning | Ethical Data | Feature Engineering | Machine Learning | Model Evaluation | Model Validation | Predictive Modeling | Prescriptive Modeling | Privacy | Python | R | Responsible AI | Statistical Analysis | Transparency