Description

You will build and deploy machine learning models focused on natural language processing and deep learning architectures.

Responsibilities

• Design, tune, and train neural networks including RNNs, LSTMs, and Transformer models.
• Execute NLP tasks such as sentiment analysis, text classification, and natural language understanding.
• Manage the full machine learning lifecycle from model training and evaluation to production deployment.
• Integrate models into production environments using cloud services and CI/CD pipelines.

Required Skills

• 5 to 10 years of professional experience in AI/ML engineering.
• Advanced programming skills in Python, R, Scala, or Java.
• Expertise in NLP frameworks such as spaCy, Hugging Face, NLTK, or GPT.
• Deep understanding of neural network architectures and model design.
• Hands-on experience with model deployment in production.
• Proficiency with cloud platforms including AWS, Azure, or GCP.
• Knowledge of DevOps practices and CI/CD pipelines.
• Any Graduate degree.

Preferred Skills

• Experience with OCR technologies.

Key Skills

Education

Any Graduate