Deskripsi Pekerjaan
Join our dynamic team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform industries. We are seeking a passionate and skilled professional to design, implement, and deploy advanced AI models and systems that solve complex real-world problems.
In this role, you will collaborate closely with cross-functional teams including data scientists, machine learning engineers, and software developers to build scalable AI infrastructure and deploy production-ready machine learning systems. You will have the opportunity to work on diverse projects spanning natural language processing, computer vision, predictive analytics, and generative AI.
Our ideal candidate thrives in a fast-paced environment, demonstrates strong problem-solving abilities, and possesses a deep understanding of both theoretical and practical aspects of AI and machine learning. This position offers excellent career growth opportunities and the chance to make a meaningful impact through innovative technology solutions.
We offer competitive compensation, continuous learning opportunities, and a supportive work environment that encourages innovation and professional development. If you are passionate about pushing the boundaries of AI technology and want to work with the latest tools and frameworks, we would love to hear from you.
Tanggung Jawab
- Design, develop, and deploy scalable machine learning models and AI systems for production environments
- Collaborate with data scientists and engineering teams to implement end-to-end ML pipelines and infrastructure
- Optimize AI models for performance, scalability, and cost-efficiency
- Research and evaluate new AI technologies, frameworks, and methodologies to enhance team capabilities
- Develop and maintain documentation for AI systems, APIs, and integration processes
- Troubleshoot and resolve technical issues related to AI deployments and model performance
- Contribute to architectural decisions and technical roadmaps for AI initiatives
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
- Proficiency in programming languages such as Python, Java, or C++ with strong software engineering fundamentals
- Hands-on experience with deep learning frameworks including TensorFlow, PyTorch, or Keras
- Solid understanding of machine learning algorithms, neural network architectures, and data preprocessing techniques
- Experience with cloud platforms like AWS, Google Cloud, or Azure for AI/ML deployments
- Familiarity with MLOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes
- Strong analytical skills and ability to translate business requirements into technical solutions
- Excellent communication skills and ability to work effectively in collaborative team environments