My client is a Global Bank, looking to hire Data Analyst or Data Scientist professionals with strong skills set in Python/ETL/Machine Learning and so on. Please refer the details below-
Responsibilities:
- Build the data ETL pipeline, handle the data cleansing and labelling
- Conduct end-to-end machine learning model experiment
- Work with business stakeholders to conduct Exploratory Data Analysis and deliver actionable insight report
- Build POC solution and support the production release
(Must have) Skillset Requirements:
- 3+ years of coding experience in Python or Spark
- 3+ years of experience in machine learning model building, training, tuning, and deployment
- (Must have) Both Well understanding and hands-on coding proficiency for the most commonly used machine learning algorithms, such as Random Forest, LightGBM, XGBoost, Clustering methods, ADAM/Bayesian optimization, CNN, RNN, Transformer model, Time series analysis models, etc.
- (Must have) Both well understanding and hands-on experience in one of AWS cloud, GCP or Azure.
(Nice to have) Skillset Requirements:
- (Nice to have) NLP knowledge and hands-on coding capability
- (Nice to have) Hands-on engineering capability in one or more of below technologies: Kubernetes/docker/Kubeflow, Spark/Hadoop, Flask/FastAPI/Nginx/gunicorn
- (Nice to have) Front-end design/development experience for mock-up UI
- (Nice to have) Machine Learning CI/CD DevOps development experience
- (Nice to have) Working experience in external facing consultancy firm or internet companies
My client is a Global Bank, looking to hire Data Analyst or Data Scientist professionals with strong skills set in Python/ETL/Machine Learning and so on. Please refer the details below-