Senior Data Scientist

Develop and optimize machine learning models for classification, regression, clustering, and recommendation systems.

• Implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
• Preprocess and analyze large datasets to extract meaningful insights.
• Fine-tune models for performance, accuracy, and efficiency.
• Deploy ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices.
• Collaborate with data engineers to build robust data pipelines.
• Conduct research on emerging AI / ML technologies and apply them to real-world problems.
• Write clean, maintainable, and well-documented code following best practices.
• Perform model evaluation, A / B testing, and error analysis to improve performance.
• Work with stakeholders to understand business requirements and translate them into AI solutions.

Requirements :

The Ideal Candidate :