Education: Bachelor's Degree in Computer Science/Electrical Engineering, Math, or related field.
Experience: Minimum 3 strong years of software engineering practices and experiences in data science, machine learning, generative AI.
Description:
- We are seeking passionate candidates for a machine learning/ deep learning software engineering role who will join as a machine learning research engineer helping the team build intelligent automotive retail and mobility solutions.
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).
- Implement cutting-edge deep learning models accelerating model training performance for intelligent automotive retail and mobility system applications.
- Apply the latest advances in deep learning and machine learning to personalize car owners experience
- Manipulate high-volume, high-dimensionality, structured data from automotive retail transactions for 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.
Skills:
- 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