ML Engineer
株式会社400F
- Python
- AWS
- GCP
- SQL
- Kubernetes
- PyTorch
- Deep Learning
- natural language processing
- TensorFlow
- MLOps
- Rust
- Scikit-Learn
- EKS
- Machine Learning Model
- BERT
- MLflow
- GPT-3
- XGBoost
- Machine Learning Algorithm
- collaborative filtering
- GKS
- Aim
- Factorization Machines
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¥4,800,000 - 13,000,000
-
Tokyo
-
11 to 100
Company Info
The company is developing a platform for financial professionals such as FP and IFA to meet and discuss financial planning and management. In the recruitment of data scientists (recruiting specialists), we are thinking about improving operation and management, focusing on re-establishing internal data bases and designing data mart, and planning for BPR and redesign, and considering improvements to operation systems. In addition, we are also actively working on business strategy to digitize the financial industry through AI x Real and achieve continuous growth.Job Summary
Responsible for the development and operation of machine learning model development for product forecasting and prediction, as well as efficient construction of learning, verification, and deployment environments for machine learning and development using SQL and experience with Python, as well as experience with AWS and GCP development.Duties
For the improvement of the productivity of the production of the financial industry, we will be responsible for the development and operation of machine learning model development for product forecasting and prediction, as well as efficient construction of learning, verification, and deployment environments for machine learning and development. In addition, we will be responsible for the efficient construction of learning, verification, and deployment environments for machine learning and development, as well as the improvement of the basic machine learning model and algorithm, and the cooperation with data engineering. Experience with the development of machine learning models using SQL and Python, as well as experience with the development of AWS and GCP, and natural language processing knowledge, and experience with the practical application of machine learning models (MLOps) are also required.Login to see all information about offers.
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