Description

You will build predictive models and implement machine learning solutions to drive business decisions.

Responsibilities

• Analyze large, complex datasets to identify trends and patterns using SQL and Python.
• Develop and implement machine learning algorithms to solve business problems and optimize processes.
• Build and train deep learning models for image recognition, NLP, and recommendation systems.
• Apply NLP techniques to extract insights from unstructured text data.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Evaluate and implement new technologies to improve model performance and scalability.

Required Skills

• 5+ years of experience in a Data Scientist or similar role.
• Proficiency in Python and SQL for data manipulation and analysis.
• Extensive experience with machine learning techniques, including supervised and unsupervised learning.
• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Expertise in data manipulation libraries including Pandas and NumPy.
• Solid understanding of NLP concepts and libraries like NLTK, spaCy, or Transformers.
• Ability to work on multiple projects simultaneously under tight deadlines.

Preferred Skills

• Experience implementing solutions using OpenAI APIs and technologies.
• Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.

Key Skills

Education

Any Graduate