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Gear Inc. is seeking a Software Engineer in AI Model Training – Team Lead to supervise a skilled team in Kuala Lumpur. You will guide daily activities, mentor engineers, and ensure top quality AI training data and code aligned with project specs.
You will report on progress to clients and stakeholders, drive process improvements, and stay current with AI/ML trends. A strong leadership mindset and collaborative communication are required to succeed in this role.
Job Openings Software Engineer, AI Model Training - Team Lead
Key Responsibilities
Team Leadership and Management:
Supervise and lead a team of coders/developers working on AI training data tasks, ensuring productivity, quality, and efficiency standards are met.
Provide daily guidance, mentoring, and support to team members to foster growth and maintain a positive work environment.
Conduct performance evaluations, provide regular feedback, and support professional development for team members.
Organize and schedule shifts and tasks, ensuring adequate coverage and that deadlines are met.
Quality Assurance:
Ensure the work produced by the team adheres to strict quality standards in terms of accuracy, efficiency, and consistency for AI training datasets.
Conduct regular reviews of the code and training data submitted by team members to ensure they align with project specifications.
Implement continuous improvements for coding processes to enhance the quality and effectiveness of AI model training.
Client Communication and Reporting:
Act as the primary point of contact for clients regarding project updates, timelines, and progress.
Prepare and present regular reports on team performance, project status, and any issues or risks to both internal and external stakeholders.
Address client inquiries, concerns, and feedback, ensuring client satisfaction and maintaining positive relationships.
Training and Development:
Facilitate training programs to upskill team members in coding, AI training datasets, and the specific needs of AI model training.
Stay updated with the latest trends in AI technologies, machine learning, and coding best practices, and share this knowledge with the team.
Performance Monitoring and KPI Management:
Define and track key performance indicators (KPIs) for team productivity, quality, and project delivery.
Implement corrective actions where necessary to ensure continuous performance improvement.
Create and maintain performance dashboards and regular team metrics reports for management review.
Problem Solving and Issue Resolution:
Address team or project challenges, providing solutions to technical, logistical, or communication issues as they arise.
Escalate any critical issues that cannot be resolved at the team level to higher management in a timely manner.
Qualifications