Senior AI Engineer

Team Coordination
Collaborate with the Developer team to integrate AI solutions into Dayone’s projects.
Work closely with other team members to address challenges and optimize AI services.
AI Model Development & Optimization
Analyze and design AI models for various problem statements.
Collect AI models from team members and integrate them into a complete service.
Optimize AI models to enhance speed and reduce resource consumption.
Post-process AI model outputs to improve accuracy.
Deploy AI services in local or cloud environments.
Ensure seamless integration with the backend team for real-world implementation.
Quality Monitoring & Troubleshooting
Monitor the performance and quality of AI services.
Identify and troubleshoot errors in AI models and services.
Develop guidelines for incident handling, maintenance, data recovery, and standardization of operational processes.
Research & Innovation
Explore new AI solutions and features to enhance project capabilities.
Implement innovative AI-related projects.
Data Management & Reporting
Collect and synthesize data for model training.
Prepare reports and generate data queries for company insights.
Production Support
Monitor and address AI-related issues in the production environment.
Communicate with other teams to ensure smooth AI service operation in real-world applications.
Additional Duties
Perform tasks as assigned by the Line Manager.

Technical Skills & Experience
Strong background in AI/ML model development, optimization, and deployment.
Hands-on experience with AI frameworks ( PyTorch, Scikit-learn, etc.).
Proficiency in programming languages (Python).
Experience in collecting, processing, and synthesizing data for AI model training.
Familiarity with cloud platforms (AWS) and containerization tools (Docker).
Knowledge of backend development and integrating AI services into production systems.
Strong ability to troubleshoot AI model errors and optimize performance.
Problem-Solving & Analytical Thinking
Ability to analyze complex AI problems and design effective solutions.
Experience in post-processing AI results to enhance accuracy.
Ability to monitor AI service performance and identify production issues.
Collaboration & Communication
Strong team coordination skills to work effectively with developers, data engineers, and backend teams.
Ability to document and communicate AI processes, troubleshooting steps, and maintenance guidelines.
Experience in reporting AI performance metrics and insights.
Innovation & Research Mindset
Passion for exploring new AI solutions, features, and methodologies.
Ability to implement innovative AI-related projects.
Additional Qualities
Detail-oriented with a proactive approach to problem-solving.
Self-motivated and able to work independently while collaborating in a team.
Ability to adapt to fast-paced environments and take on new challenges.
Experience in writing technical documentation and incident response procedures is a plus.