Info Detil :
Berakhir 31 Oktober 2022
Skill yang dibutuhkan
Oop And Mvc Concept
Perform data exploration, data cleaning, data imputation, and feature engineering on unstructured and structured data.
Build the infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
Develop and maintain optimal data pipeline architecture for training statistical and machine learning models such as regression and classification.
Develop and maintain evaluations to measure the effectiveness of training data. This includes measuring the capabilities of models on a variety of tasks and domains.
Collaborate with data scientists and machine learning engineers to develop a comprehensive data science/machine learning solution pipeline.
What you need to have (Minimum Qualifications):
Bachelor's degree from computer science or related fields, or equivalent software engineering experience.
Proficiency in Python programming language
Experience in dataset processing and feature engineering using tools such as Numpy, Pandas, and Scikit-Learn
Visualization skills using tools such as Matplotlib, Seaborn, and Bokeh
Understanding of deep learning frameworks such as Pytorch and TensorFlow
Understanding of SQL and NoSQL
Understands Hadoop / Spark / Kafka / Hive / Presto
Proficiency in source control i.e. Git
What would make you stand out from the crowd (Preferred Qualifications):
Deep understanding of Object-Oriented Programming (OOP) concepts such as inheritance, delegation, and abstract class
Understanding of cloud-native technologies such as AWS, GCP, and Azure
Experience in using Docker
Experience in using AWS services such as S3, EC2, Glue, Sagemaker
Experience in AWS Step Function and/or AWS Lambda is even better
Proficiency in Scala and Java programming languages
Enjoy iterating quickly with research prototypes and learning new technologies