ImpetusIT

Design, train, and deploy large language models and NLP solutions in cloud environments. | Proficiency in Python, experience with LLMs, NLP, deep learning, and cloud deployment. | One of our staffing partners is helping a Manufacturing client hire a Machine learning engineer /data scieneitst to impactful AI-driven applications. Salary offered $60-70k per year Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants. Responsibilities: • Design, train, and fine-tune Large Language Models (LLMs) for various applications • Develop advanced NLP solutions for text generation, summarization, and semantic search • 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 • Familiarity with cloud-based AI environments (AWS, Azure, or GCP) • Experience with AI model deployment and optimization techniques