Deskripsi Pekerjaan
We are seeking a highly skilled Senior AI Developer to join Hexacode Technology Indonesia. In this critical role, you will lead the design and implementation of advanced artificial intelligence solutions that drive business innovation. You will collaborate with cross-functional teams to transform complex data into actionable insights, ensuring our products remain at the cutting edge of technology. If you are passionate about machine learning, deep learning, and building scalable software architectures, this is the perfect opportunity for you to advance your career in a dynamic environment.
As a Senior AI Developer, you will own the AI lifecycle from concept to deployment. You will be responsible for optimizing algorithms, integrating models into production APIs, and mentoring junior engineers. We value technical excellence, creativity, and the ability to solve challenging problems efficiently. Join us to shape the future of technology with Hexacode Technology Indonesia.
Tanggung Jawab
- Design, develop, and deploy scalable machine learning models and deep learning architectures using Python and modern frameworks.
- Preprocess and analyze large, complex datasets to extract meaningful patterns and train robust models.
- Integrate AI models into production environments via RESTful APIs and microservices.
- Collaborate closely with data engineers and product managers to define technical requirements and deliver high-quality solutions.
- Optimize algorithms for speed, accuracy, and resource efficiency to ensure seamless user experiences.
- Conduct code reviews and mentor junior developers to foster a culture of technical excellence.
- Stay abreast of the latest AI research and industry trends to implement best practices.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Minimum of 5+ years of professional experience in software development, with a focus on AI/ML.
- Strong proficiency in Python and deep understanding of data structures and algorithms.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker/Kubernetes).
- Experience with MLOps pipelines and version control systems (Git).
- Excellent problem-solving skills and the ability to work effectively in a fast-paced team environment.