Data Science and Engineering Specialist
1 week ago
Are you ready to take your career to the next level? At GCash, we're on a mission to revolutionize the financial industry with innovative solutions. As a Machine Learning Engineer, you'll play a crucial role in shaping the future of finance.
Job DescriptionYou'll be responsible for designing, developing, and implementing machine learning systems that meet the needs of our business. This includes:
- Designing and developing machine learning models and algorithms to solve complex business problems.
- Conducting data analysis and modeling using large and complex datasets.
- Ensuring the accuracy and effectiveness of ML systems and algorithms through continuous training and retraining.
- Enhancing existing frameworks, workflows, and libraries to improve efficiency and performance.
- Bachelor's or Master's Degree in a quantitative field such as statistics, engineering, or computer science.
- At least 2 years of experience in software and model development in a data or machine learning team in a production environment.
- Strong track record of designing and training machine learning models to solve business challenges.
- Proficiency in cloud computing platforms like AWS, Google Cloud, or AlibabaCloud.
- Excellent software engineering skills across multiple languages, including Python, SQL, Scala.
- Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
- Solid understanding of software engineering best practices and their appropriate application.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes for machine learning deployment.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Ability to adapt to new technologies and stay current with the latest developments in machine learning.
As a Machine Learning Engineer at GCash, you'll enjoy a highly competitive and flexible compensation and benefits package. You'll also have opportunities for career growth and development in a dynamic and highly collaborative work environment.
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