Machine Learning Engineer
4 weeks ago
Tiger Analytics is seeking a highly skilled Machine Learning Engineer to contribute to our team of experts in advanced analytics consulting. Our employees bring deep expertise in Machine Learning, Data Science, and AI, enabling us to deliver business value to our clients.
We are looking for a talented individual to join our team and help us build scalable Machine Learning systems that are highly performant. The ideal candidate will have experience with Python and/or R programming and statistical packages, as well as ML libraries such as scikit-learn, TensorFlow, and PyTorch.
The successful candidate will be responsible for:
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
- Creating scalable Machine Learning systems that are highly performant
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed, and deployed
The ideal candidate will have a strong background in statistical modeling, data mining, and analytics techniques, as well as experience with relational databases, document databases (NOSQL), and query tools and/or statistical software.
Requirements:
- 7+ years of experience in statistical modeling, data mining, analytics techniques, machine learning software development, and reporting
- 5+ years of applied experience in building/deploying Machine Learning solutions using various supervised/unsupervised ML algorithms
- 5+ years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries
- 3+ years of experience in building use cases/solutions especially around AI/ML on Cloud infrastructure and services
Desired:
- Bachelor or Masters degree in a highly quantitative field (computer science, electrical engineering, mathematics, statistics) or equivalent domain-specific experience
- Proficient in machine learning data workflows, data collection methodologies, and data analysis
- Experience with architecting, designing, developing software solutions in Azure and on-prem environments
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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