Team Lead - AI/ML Engineer

Job highlights

• Bachelor s degree in Computer Science,Engineering,or a related field. 4-7 years of experience in AI / ML development,with a focus on deploying machine learning models.
• Proven experience in leading and managing development teams,with strong leadership and communication skills.
• Experience
• Competitive salary based on experience and qualifications. .

Job Category

Team Lead - AI/ML Engineer

Responsibilities and Duties

• Lead and manage a team of AI/ML engineers, providing guidance, mentorship, and technical leadership.
• Collaborate with product managers, data scientists, and other stakeholders to define project requirements, scope, and objectives.
• Architect, design, and develop robust and scalable AI/ML models and applications.
• Ensure adherence to coding standards, best practices, and project timelines throughout the development lifecycle.
• Conduct code reviews, provide constructive feedback, and ensure high code quality and performance.
• Troubleshoot technical issues, debug models, and implement effective solutions to address challenges.
• Stay updated with the latest trends, tools, and technologies in AI/ML, and share knowledge with the team.

Key Skills

• Bachelor s degree in Computer Science, Engineering, or a related field.
• 4-7 years of experience in AI/ML development, with a focus on deploying machine learning models.
• Proven experience in leading and managing development teams, with strong leadership and communication skills.
• Expertise in programming languages such as Python and SQL, and familiarity with AI/ML frameworks (e. g. , TensorFlow, PyTorch).
• Solid understanding of machine learning algorithms, data preprocessing, and model evaluation techniques.
• Experience with cloud platforms (AWS, Azure, GCP) for deploying AI/ML solutions.
• Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.

Experience

4-10 years

Benefit

• Competitive salary based on experience and qualifications.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment with a focus on innovation and creativity.
• Five days working with flexible working hours.
• Performance bonus.