Description

You will architect and operate machine learning models, bridging development and architecture. You will implement algorithms using traditional and neural network approaches, with a focus on text and NLP workloads.

Responsibilities

• Develop and architect machine learning models and operational workflows.
• Implement ML algorithms using PyTorch, Keras, and traditional methods.
• Deploy models using Flask and manage MLOps via AWS services.
• Process big data and build pipelines using PySpark and Pandas.

Required Skills

• 4+ years of professional experience in machine learning or data engineering.
• Strong proficiency in Python.
• Hands-on experience with PyTorch and Keras.
• Experience using Flask for model deployment.
• Data manipulation skills using Pandas and Scikit-learn.
• Foundational knowledge of PySpark.
• Practical experience with AWS for ML model building and MLOps.
• Deep understanding of machine learning algorithms and neural networks.

Preferred Skills

• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science