job description
Are you a visionary Lead AI Engineer ready to shape the future of artificial intelligence in one of the worldās most dynamic tech hubs? Join our innovative team in Bali, Indonesia, where cutting-edge technology meets a vibrant, collaborative culture. As our Lead AI Engineer, you will spearhead the design, development, and deployment of AI/ML-powered applications that redefine industry standards and drive transformative business solutions.
In this pivotal role, you will lead a talented team of engineers, researchers, and data scientists to build scalable, high-impact AI systems. Your expertise will be instrumental in solving complex problems, optimizing algorithms, and ensuring seamless integration of AI models into real-world applications. With Baliās thriving tech ecosystem and our commitment to innovation, this is your opportunity to make a lasting impact while enjoying a work-life balance in a tropical paradise.
If you are passionate about pushing the boundaries of AI and eager to work in a forward-thinking environment, we want to hear from you. Apply today and be part of a team thatās revolutionizing the way businesses leverage artificial intelligence.
Responsibility
- Lead the end-to-end development of AI/ML models, from research and prototyping to production deployment.
- Design and implement scalable machine learning pipelines and data processing frameworks.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
- Mentor and guide junior engineers, fostering a culture of innovation, continuous learning, and technical excellence.
- Optimize AI models for performance, accuracy, and efficiency, ensuring they meet business and technical requirements.
- Stay ahead of industry trends by researching and evaluating emerging AI technologies, tools, and methodologies.
- Develop and maintain robust APIs and microservices to enable seamless AI model consumption.
- Ensure compliance with data privacy, security, and ethical AI standards in all development processes.
Qualifications
- Bachelorās or Masterās degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum of 7+ years of experience in AI/ML engineering, with at least 3 years in a leadership role.
- Proficiency in Python, TensorFlow, PyTorch, or similar frameworks for developing and deploying ML models.
- Strong background in data structures, algorithms, and distributed computing (e.g., Spark, Dask).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
- Expertise in natural language processing (NLP), computer vision, or reinforcement learning is a plus.
- Proven ability to lead technical projects, manage stakeholders, and deliver high-quality solutions on time.
- Excellent problem-solving, communication, and teamwork skills to drive collaboration across departments.