Mid-Level Data Scientist - Audio ML Models (End-to-End Ownership)
Join Fata Organa Solutions as a Mid-Level Data Scientist and take ownership of cutting-edge audio machine learning models from problem framing to full-scale production. In this dynamic role, youโll bridge the gap between data science innovation and real-world applications, working closely with cross-functional teams to deliver impactful solutions.
Based in Tangerang, Banten, youโll be part of a team that is revolutionizing the audio technology landscape. This is your chance to work with the latest tools and technologies, including TensorFlow, PyTorch, and scikit-learn, to build and deploy sophisticated audio models.
If you're passionate about audio processing and machine learning, and you're ready to take on end-to-end ownership of your projects, we want to hear from you.
๐ Tanggung Jawab Pekerjaan
- Develop and deploy cutting-edge audio machine learning models using TensorFlow, PyTorch, and scikit-learn.
- Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
- Conduct exploratory data analysis and feature engineering to improve model performance.
- Monitor model performance in production and iterate on models to ensure they meet business objectives.
- Stay up-to-date with the latest advancements in audio processing and machine learning.
- Document processes, models, and findings to ensure knowledge sharing and reproducibility.
- Work closely with software engineers to integrate models into existing systems.
- Present findings and recommendations to stakeholders in a clear and concise manner.
๐ Kualifikasi & Syarat
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
- 3-5 years of experience in data science, with a focus on audio processing or machine learning.
- Strong programming skills in Python, with experience in libraries such as NumPy, Pandas, and Matplotlib.
- Experience with TensorFlow, PyTorch, and scikit-learn.
- Knowledge of audio processing techniques and tools such as Librosa and FFmpeg.
- Experience with cloud platforms such as AWS or Google Cloud.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills, with the ability to present findings to both technical and non-technical audiences.
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang