Description

You will build and maintain data pipelines to ingest, process, and analyze large volumes of text data. You will integrate NLP and ML models into production systems and optimize them for performance and scalability.

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.

Required Skills

• 5+ years of experience in data science roles.
• Proficiency in Python and libraries including 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