ML Platform Engineer - Bangka Belitung
Join Nusantara AI Labs in Bangkal Pinang as an ML Platform Engineer and shape the future of scalable machine learning infrastructure. You'll design, deploy, and optimize cutting-edge platforms that empower data scientists and engineers to build, train, and deploy machine learning models at scale. Our office in Bangka Belitung is a vibrant hub for innovation, where you'll collaborate with a diverse team of experts to create robust and efficient ML platforms using tools like Kubernetes, Docker, and TensorFlow.
Nusantara AI Labs is a forward-thinking company committed to advancing AI technologies in Indonesia. With a strong focus on scalability and performance, we're looking for an ML Platform Engineer who can bridge the gap between cutting-edge research and real-world applications. In this role, you'll work closely with data scientists to ensure seamless integration of ML models into our production environment, leveraging tools like Apache Spark and Airflow for data processing and workflow orchestration.
๐ Tanggung Jawab Pekerjaan
Key Responsibilities:
- Design and implement scalable machine learning platforms using Kubernetes, Docker, and other containerization technologies.
- Deploy and maintain ML models in production environments, ensuring high availability and performance.
- Optimize machine learning workflows using Apache Spark and Airflow for efficient data processing and orchestration.
- Collaborate with data scientists to integrate ML models into our production environment.
- Monitor and troubleshoot ML platforms to ensure optimal performance and reliability.
- Stay updated with the latest advancements in machine learning and cloud technologies to drive innovation.
- Document technical processes and best practices for team knowledge sharing.
- Participate in code reviews and contribute to the improvement of existing ML platforms.
๐ Kualifikasi & Syarat
Kualifikasi & Syarat:
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 3-5 years of experience in machine learning platform development and deployment.
- Proficiency in programming languages such as Python and Java.
- Experience with containerization technologies like Docker and Kubernetes.
- Familiarity with cloud platforms like AWS, GCP, or Azure.
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with data processing tools like Apache Spark and workflow orchestration tools like Airflow.
- Strong problem-solving skills and attention to detail.
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang