Description

You will build and maintain data pipelines for large-scale text analysis and integrate NLP models into production systems.

This role is on-site.

Responsibilities

• Implement NLP algorithms for text classification, named entity recognition, sentiment analysis, and topic modeling.
• Design and implement data storage solutions for structured and unstructured data.
• Optimize data processing and model inference pipelines for performance and scalability.
• Translate requirements from cross-functional teams into technical solutions.
• Integrate machine learning models into production environments.

Required Skills

• 5+ years of experience in data science roles.
• Proficiency in Python with NLTK, spaCy, scikit-learn, TensorFlow, and PyTorch.
• Strong background in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning.
• Experience building data pipelines with Apache Spark, Kafka, or Airflow.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, BigQuery, or Dataflow.
• Knowledge of SQL and NoSQL database systems, data modeling, and schema design.

Preferred Skills

• Programming or data mining experience with R.
• Experience with version control (Git) and agile methodologies.

Key Skills

Education

Bachelor's degree or higher in Computer Science