Description

Develop machine learning solutions and deliver analytical insights from large-scale data warehouses.

Responsibilities

• Implement deep learning algorithms for time series data and computer vision.
• Formulate problems, design algorithms, and build models using statistical analysis.
• Compare predicted values against actual historical data to evaluate model performance.
• Drive the development of data products in collaboration with analysts and other data scientists.
• Automate reporting processes and maintain software traceability using GitHub.

Required Skills

• 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.
• Strong knowledge of machine learning algorithms and evaluation metrics.
• Experience working with big data and large-scale time series data processing.
• Practical experience in cloud-native environments like AWS.
• Competency in algorithm design and statistical evaluation.
• Proficiency with GitHub for version control.

Preferred Skills

• Experience building image recognition pipelines and computer vision models.
• Knowledge of NLP.

Key Skills

Education

Any Graduate