Responsibilities:

• Develop and deploy machine learning models using algorithms for prediction, classification, and data analysis.
• Collect, clean, and preprocess large datasets to prepare them for training AI/ML models.
• Build and train models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Optimize and tune machine learning models to improve performance and accuracy.
• Integrate AI/ML models into applications, APIs, or production systems.
• Monitor model performance and retrain models when new data becomes available.
• Collaborate with data engineers and developers to implement scalable AI solutions.

Mandatory Skills:

• Model development & deployment
• REST API integration for ML models

Preferred Skills:

• Experience with NLP, deep learning
• Cloud ML platforms (AWS SageMaker, Azure AI)
• Exposure to data preprocessing tools (Pandas, NumPy)
• Basic cloud AI services

Mandatory Skills:

• Python
• TensorFlow/PyTorch basics
• Understanding of ML algorithms

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