Description

You will design, build, and deploy machine learning models and data pipelines in a cloud environment, owning the lifecycle from experimentation to production.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines using Python, Spark, and MLLib.
• Develop, train, and deploy machine learning models using PyTorch and TensorFlow.
• Create and manage REST APIs using Python frameworks such as Django or Flask.
• Manage data processing tasks across AWS and Cloudera Data Platform.
• Utilize data science notebooks for experimentation within Linux environments.

Required Skills

• 4-5 years of experience in Machine Learning, NLP, and Deep Learning.
• Strong proficiency in Python, including libraries like Numpy, SciPy, or Pandas.
• Hands-on experience building data pipelines with PyTorch and TensorFlow.
• Proficiency with Spark, Hive, and RDBMS.
• Experience operating within AWS and Cloudera Data Platform.
• Proven track record in REST API development using Python frameworks.
• Comfortable working in Linux environments.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with Microservices or web service development using the Spring framework.

Key Skills

Education

Bachelor's degree