Description

You will develop machine learning solutions and deliver analytic insights from large data warehouses. You will implement deep learning algorithms for time series data and computer vision, building and evaluating models using statistical analysis. You will drive the development of data products in collaboration with data scientists and analysts, automating reporting processes to improve team efficiency while maintaining software traceability using GitHub.

Responsibilities

• Implement deep learning algorithms for time series data and computer vision.
• Build and evaluate machine learning models using statistical analysis and proper performance metrics.
• Drive the development of data products in collaboration with data scientists and analysts.
• Automate reporting processes to improve team efficiency.
• Maintain software traceability using GitHub.

Required Skills

• 1-2 years of experience as a Data Scientist or Machine Learning Engineer.
• Proficiency in Python and its ecosystem, including NumPy and Pandas.
• Hands-on experience with TensorFlow and PyTorch.
• Working knowledge of big data and large-scale data processing.
• Experience with problem formulation, algorithm design, and model building.
• Ability to compare predicted values against actual historical data.
• Experience working in cloud-native environments such as AWS.
• Background in statistical analysis and model evaluation.

Preferred Skills

• Experience with large-scale time series data processing.
• Experience building image recognition pipelines.

Key Skills

Education

ANY GRADUATE