- Design, build, and optimize machine learning models to solve business challenges such as recommendation systems, anomaly detection, and automation features within the SaaS platform.
- Integrate machine learning models into production, ensuring scalability, performance, and accuracy of AI-powered features.
Client Details
Our client is a multinational SaaS company based out of Denpasar, Bali.
Description
- Design, build, and optimize machine learning models to solve business challenges such as recommendation systems, anomaly detection, and automation features within the SaaS platform.
- Integrate machine learning models into production, ensuring scalability, performance, and accuracy of AI-powered features.
- Work with large datasets to preprocess, clean, and prepare data for training and validation of machine learning models.
- Partner with cross-functional teams (product, software engineering, data science) to align AI initiatives with the company’s strategic goals and customer needs.
- Stay up to date with the latest advancements in AI/ML technologies and frameworks. Explore new techniques and approaches to enhance product capabilities.
- Document AI processes, model architectures, and workflows to ensure reproducibility and maintainability.
Profile
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
- 3+ years of experience in AI, machine learning, or data science roles, preferably in a SaaS environment.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Experience with cloud platforms (AWS, GCP, Azure) and deployment of AI/ML models in cloud environments.
- Strong foundation in machine learning, deep learning, and NLP techniques.
- Expertise in data structures, algorithms, and model optimization.
- Experience with data processing frameworks such as Pandas, Spark, or Dask.
Job Offer
Opportunity to work integratively with global technology team
Pioneering AI practices in the company
To apply online please click the ‘Apply’ button below. For a confidential discussion about this role please contact Dyah Alya Gretiana on +62 21 2958 8817.
