Description

Key Skills: Natural Language Processing, Generative AI, Machine Learning, Keras, Sci-Kit Learn

Roles and Responsibilities:

• Develop and fine-tune machine learning and deep learning models for NLP and GenAI use cases using Python.
• Build end-to-end data science workflows including data preparation, feature engineering, model training, and evaluation.
• Implement and optimize deep learning models using TensorFlow and PyTorch, including experimentation and performance tuning.
• Design and validate NLP pipelines for text processing, model inference, and quality measurement.
• Collaborate on model deployment readiness by preparing artifacts, documenting experiments, and supporting testing/validation.

Skills Required:

• 3-9 years of relevant experience in applied machine learning / deep learning
• Python for machine learning and deep learning development
• Machine learning and deep learning fundamentals with practical implementation
• TensorFlow and PyTorch for training and experimentation
• Natural language processing and data science workflows for model development and evaluation

Good to Have:

• Keras
• Scikit-learn

Education: Bachelor's in Computer Science, Master's in Artificial Intelligence

Key Skills

Education

Any Graduate