Develop, implement, and maintain machine learning models to address business problems.
Design and build robust data pipelines and workflows for efficient data processing and analysis.
Collaborate with cross-functional teams to understand business requirements and translate them into actionable data solutions.
Write clean, efficient, and production-ready code in Python and SQL.
Utilize machine learning libraries such as TensorFlow, PyTorch, and SparkML to build scalable models.
Conduct statistical analysis and develop statistical models to derive insights from data.
Apply strong knowledge of data structures, data modeling, and software architecture to support machine learning and data science projects.
Ensure the continuous performance optimization of models in production environments
Persyaratan
3 years of relevant experience in Data Science or Software Engineering and minimum 1-2 years hands-on experience in machine learning models. Experience in deployment and building pipeline is a plus.
Having good knowledge of data structures, data modeling and software architecture related to Machine Learning.
Strong programming skills in Python, SQL, or another statistical programming language.
Ability to write robust production-ready code in Python and SQL.
Proficiency in machine learning libraries such as: Tensorflow/Keras, Pytorch, SparkML.
Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience to formulate Data Science solutions to business problems.
Have the understanding on design and implement statistical models
Develop, implement, and maintain machine learning models to address business problems.
Design and build robust data pipelines and workflows for efficient data processing and analysis.
Collaborate with cross-functional teams to understand business requirements and translate them into actionable data solutions.
Write clean, efficient, and production-ready code in Python and SQL.
Utilize machine learning libraries such as TensorFlow, PyTorch, and SparkML to build scalable models.
Conduct statistical analysis and develop statistical models to derive insights from data.
Apply strong knowledge of data structures, data modeling, and software architecture to support machine learning and data science projects.
Ensure the continuous performance optimization of models in production environments
Persyaratan
3 years of relevant experience in Data Science or Software Engineering and minimum 1-2 years hands-on experience in machine learning models. Experience in deployment and building pipeline is a plus.
Having good knowledge of data structures, data modeling and software architecture related to Machine Learning.
Strong programming skills in Python, SQL, or another statistical programming language.
Ability to write robust production-ready code in Python and SQL.
Proficiency in machine learning libraries such as: Tensorflow/Keras, Pytorch, SparkML.
Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience to formulate Data Science solutions to business problems.
Have the understanding on design and implement statistical models