Machine Learning Engineering
2 weeks ago
**Description**:
**Responsibilities**:
- As a Machine Learning Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale).
- Manipulate high-volume, high-dimensionality, structured data from automotive retail transactions to come up with predictions and recommendations that addresses the challenges of the automotive industry.
- Work in a multidisciplinary team and collaborate with other teams across our R&D and Delivery team.
**Requirements**:
- Bachelor’s Degree in Computer Science/Electrical Engineering, Math, or related field.
- Minimum 5 strong years of software engineering practices and experiences in data science, machine learning, generative AI.
- Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM and Reinforcement Learning). Experience of training deep-learning models in an end-to-end fashion.
- Project experience working with Azure Machine Learning, Azure Open AI or other modern deep learning frameworks.
- Proficient in Python is a minimum. Additional knowledge of C++ / C# is a plus.
- Working knowledge of statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference)
- Working knowledge in machine learning algorithms: logistic regression, random forest, gradient boosted trees, neural networks, k-means, and more
- Excellent verbal and written communication skills
**What’s on Offer?**
- Attractive salary and benefits
- Customer-focused culture
- Talented and collaborative co-workers who will support you and help you grow
- Personal development opportunities
- A great place to grow with career advancement
**Job Location**:Jakarta, Singapore
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