Description

You will develop and deploy machine learning and deep learning models to solve complex data problems, including applying NLP techniques and managing the model lifecycle via MLOps.

This role is on-site.

Responsibilities

• Build and deploy machine learning and deep learning models.
• Apply natural language processing techniques to unstructured datasets.
• Utilize PySpark and SQL for large-scale data processing and analysis.
• Implement MLOps practices to manage the model lifecycle.
• Work within cloud environments to scale data science workflows.

Required Skills

• 5-8 years of experience in data science roles.
• Proficiency in Python and PySpark.
• Strong command of SQL.
• Deep understanding of Statistics and Machine Learning.
• Experience with Deep Learning and Natural Language Processing (NLP).
• Exposure to MLOps workflows.
• Hands-on experience with Azure or AWS.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate