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Machine Learning Engineer

2 weeks ago

Singapore Carro Full time

Are you as fascinated by Skynet as we are? You won't be building that here (yet) but you will be working alongside our diversely talented team and build impactful solutions. Your motto is "Yes, we can automate that" You will be part of the integral team that will aid the technical development and deployment of algorithmic, automated, and innovations that Carro is undertaking. Come and have a chat with us**What you will be doing**:

- Contribute to the development of machine-learning innovations, including but not limited to machine learning, computer vision, acoustic signal processing, and artificial intelligence
- Work closely with the Chief Data Scientist to further enhance Carro as a deep-tech South East Asia
- Build robust data collection procedures and highly scalable APIs
- Processing, cleansing, and verifying the integrity of data used for analysis
- Design, build and handle the deployment of ML models and acute awareness of optimized server configurations
- Build innovative approaches to automated repurposing and redeployment of the ML models
- Design and build recommendation engines to improve the user experience of our products

**Requirements**:
**What you will need**:

- Bachelor, Master or Ph.D. in Computer Science, Statistics, Computational Finance, Mathematics, Economics or quantitative discipline
- At least 3 years of hands-on industry experience in building and deploying end to end machine learning platforms
- Strong working knowledge of engineering and coding skills (Python, Javascript..etc)
- Good understanding of current algorithms such as gradient boosting machines, e.g XGBoost
- Good understanding of various cloud-based solutions, other high/low-level languages (PHP, Ruby..etc) is advantageous
- Hands-on experience with TensorFlow, PyTorch, and Scikit.
- Demonstrable track record of hands-on experience in distributed data platforms and processing frameworks
- Good communication skills to communicate with technical and non-technical stakeholders
- Demonstrated ability to operate as a high-performing member of a small cross-functional team

**Job Information**:
Industry
- Automotive

Job Function
- Data Science & Analytics

City
- Singapore

Province

Country
- Singapore

Postal Code