Machine Learning Developer Internship - Bali, Indonesia

Join PT Sumber Energi Surya Nusantara as a Machine Learning Developer Intern and dive into the exciting world of AI-driven solutions in Bali’s thriving tech ecosystem. This hands-on internship offers a unique opportunity to collaborate with seasoned data scientists and engineers, working on cutting-edge projects that harness the power of machine learning to drive innovation and efficiency.

As a Machine Learning Developer Intern at PT Sumber Energi Surya Nusantara, you will be part of a dynamic team committed to pushing the boundaries of what’s possible with AI. You’ll have the chance to work on real-world problems, from developing predictive models to optimizing algorithms, all while gaining invaluable experience in a supportive and collaborative environment.

Located in the heart of Bali, our office in Canggu provides a vibrant and inspiring setting for your internship. You’ll be surrounded by a community of talented professionals, fostering an environment where creativity and innovation thrive. This is your chance to grow, learn, and contribute to projects that make a real impact in the tech industry.

📋 Tanggung Jawab Pekerjaan

• Develop and implement machine learning models using Python and popular libraries such as TensorFlow, PyTorch, and scikit-learn.
• Collaborate with data scientists and engineers to design, test, and deploy machine learning solutions.
• Clean, preprocess, and analyze large datasets to extract meaningful insights.
• Optimize machine learning algorithms for performance and scalability.
• Document and communicate your work to stakeholders, including technical and non-technical audiences.
• Participate in code reviews and contribute to team discussions on best practices and emerging technologies.
• Assist in the development of machine learning pipelines and workflows.
• Stay updated with the latest advancements in machine learning and AI, and apply this knowledge to your projects.

🎓 Kualifikasi & Syarat

• Currently pursuing a degree in Computer Science, Data Science, or a related field, or have completed your studies.
• Strong programming skills in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with data preprocessing techniques and tools like Pandas, NumPy, and Matplotlib.
• Understanding of statistical concepts and machine learning principles.
• Experience with version control systems like Git.
• Ability to work in a team and collaborate effectively with data scientists and engineers.
• Strong problem-solving skills and attention to detail.
• Passion for technology and a desire to learn and grow in the field of machine learning.

🛠️ Keahlian

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