Machine Learning Engineer

ImpetusIT is seeking a Machine Learning Engineer for their financial client. The role involves designing and fine-tuning Large Language Models, optimizing architectures, and collaborating with teams to integrate AI into applications.

Responsibilities:

• Design, train, and fine-tune Large Language Models (LLMs) for various applications
• Optimize transformer-based architectures for performance and scalability
• Leverage prompt engineering and model customization to enhance AI outputs
• Deploy, monitor, and optimize AI models in cloud environments
• Collaborate with cross-functional teams to integrate AI into real-world applications
• Analyze and preprocess massive datasets for AI-driven insights
• Strong background in Machine Learning, Deep Learning, and NLP
• Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
• Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries
• Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
• Experience with fine-tuning and optimizing foundation models

Requirements:

• Experience of 2-3 years
• Strong background in Machine Learning, Deep Learning, and NLP
• Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
• Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries
• Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
• Experience with fine-tuning and optimizing foundation models