Description

You will apply deep learning to text data to solve complex problems, designing large-scale pipelines and integrating models into production.

Responsibilities

• Apply deep learning methods to text data, including NLP, text classification, and sentiment analysis.
• Design and implement large-scale data pipelines and processing systems.
• Develop machine learning and statistical models using large datasets.
• Integrate models into production environments using containerization and CI/CD workflows.

Required Skills

• 3-5 years of experience applying deep learning to text data.
• Proficiency in Python and strong programming skills.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Background in machine learning, statistical modeling, and data mining.
• Experience with big data tools like Spark.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with containerization using Docker and Kubernetes.
• Proficiency with version control using Git.
• Experience with CI/CD tools such as Jenkins.

Preferred Skills

• Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

Key Skills

Education

Master's degree