Description

You will design and implement machine learning models and data pipelines to solve complex analytical problems.

Responsibilities

• Develop machine learning models using linear regression, logistic regression, decision trees, SVM, neural networks, ensemble methods, and reinforcement learning.
• Process and analyze large datasets using Hadoop, Spark, and distributed computing technologies.
• Build end-to-end machine learning pipelines covering data gathering, pre-processing, model deployment, and monitoring.
• Communicate technical concepts and model results to technical and non-technical stakeholders.

Required Skills

• 5+ years of experience in machine learning engineering.
• Proficiency in Python.
• Hands-on experience with TensorFlow, Keras, PyTorch, or Scikit-learn.
• Experience working with large datasets and distributed computing environments.
• Competency in data visualization using Matplotlib, Tableau, or D3.js.
• Bachelor's degree in any field.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms including AWS, Google Cloud, or Azure.
• Knowledge of natural language processing, computer vision, or deep learning techniques.

Key Skills

Education

Any Gradute