Remote Lead AI Engineer (Vietnam)

Description:

• Bjak is seeking a talented Lead AI Engineer from Vietnam to join their team remotely.
• The position involves leading and mentoring a team of AI engineers, providing technical guidance, and fostering growth.
• The Lead AI Engineer will collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
• Responsibilities include designing, developing, and implementing AI models, algorithms, and applications to solve complex business challenges.
• The role requires overseeing the AI model lifecycle, including data collection, preprocessing, training, evaluation, and deployment.
• Staying updated with the latest advancements in AI and machine learning is essential, as well as integrating best practices into projects.
• The engineer must ensure that AI solutions are scalable, efficient, and secure.
• Utilizing data analytics and visualization techniques for data-driven decision-making is part of the job.
• Conducting research and exploring new AI methodologies and applications is also expected.

Requirements:

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field is required.
• Proven experience in AI engineering, data science, or related roles, along with leadership experience, is necessary.
• Strong proficiency in AI frameworks and programming languages such as Python, TensorFlow, and PyTorch is essential.
• Expertise in data preprocessing, feature engineering, and model evaluation is required.
• Excellent problem-solving and critical-thinking skills are necessary for this role.
• Effective leadership, communication, and team management abilities are required.
• The candidate must be a Vietnamese citizen.
• Fluency in Vietnamese is required, and proficiency in English is a plus.

Benefits:

• The position offers a fully remote role, allowing the engineer to work from Vietnam while collaborating with teams across ASEAN.
• Employees will experience a fast-moving and dynamic work environment.
• Attractive remuneration and performance incentives are part of the compensation package.
• There are strong learning and career growth opportunities available.
• The role provides exposure to international projects and collaboration.
• A competitive salary is offered for this position.