Requirements

• Minimum 5 years of experience in ML.
• Experience in implementing any cloud-native solutions (AWS, Azure, GCP).
• CI/CD pipelines experience.
• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms.
• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers.
• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering.
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript.
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
• Databases: SQL (PostgreSQL, MySQL).

Responsibilities

Core Skills

• Machine Learning:Scikit-learn, XGBoost, LightGBM, advanced algorithms
• Deep Learning: TensorFlow, PyTorch, Keras; CNN, RNN, LSTM, Transformers
• Large Language Models: GPT, BERT, T5; fine-tuning and prompt engineering
• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, Google Cloud AI
• Databases: SQL (PostgreSQL, MySQL)

Role Focus:

• Develop, deploy, and optimize ML and AI solutions on cloud platforms, including working with cutting-edge deep learning and large language model technologies.