Description

You will apply machine learning techniques to solve complex data problems using supervised and unsupervised algorithms.

Responsibilities

• Implement supervised and unsupervised machine learning algorithms to address complex data challenges.
• Develop and optimize models using TensorFlow, scikit-learn, PyTorch, and Keras.
• Execute data modeling, feature extraction, and data structure optimization.
• Manage model training workflows using SageMaker or Vertex AI.
• Utilize Jupyter Notebooks for experimentation and development.

Required Skills

• 10+ years of experience in data science or related fields.
• Deep knowledge of supervised and unsupervised machine learning algorithms.
• Hands-on experience with TensorFlow and scikit-learn.
• Proficiency with PyTorch and Keras.
• Strong understanding of data structures and data modeling.
• Experience with feature extraction techniques.
• Ability to train models on SageMaker or Vertex AI.
• Competency in using Jupyter Notebooks.

Education

• Any Graduate degree.

Key Skills

Education

Any Graduate