AI Engineer

We're seeking an exceptional AI Engineer with deep expertise in TensorFlow model training to design and build next-generation AI systems. This role focuses on developing sophisticated machine learning models, particularly Large Language Models and NLP solutions, while leveraging AWS cloud infrastructure for scalable deployment.

Key Responsibilities :

• Design and architect enterprise-scale AI / ML solutions with emphasis on custom model development and training
• Build, train, and optimize deep learning models using TensorFlow and TensorFlow Extended (TFX)
• Develop and fine-tune Large Language Models for domain-specific applications
• Implement advanced NLP pipelines including text classification, named entity recognition, sentiment analysis, and language generation
• Lead model training infrastructure design, including distributed training strategies and GPU optimization
• Deploy and manage ML models on AWS SageMaker and AWS Bedrock platforms
• Establish MLOps practices for model versioning, experiment tracking, and continuous training
• Optimize model architectures for performance, accuracy, and computational efficiency
• Conduct thorough model evaluation, validation, and performance benchmarking
• Collaborate with data engineering teams to build robust training data pipelines
• Mentor ML engineers and data scientists on TensorFlow best practices and model training techniques

Required Qualifications :

Preferred Skills :

Technical Skills :