Gen AI Engineer ( Vertex AI & GCP ML)

• 8+ years of experience in Machine Learning and Deep Learning, with hands-on expertise in Generative AI. • Strong experience in Natural Language Processing (NLP) and AI/ML algorithms. • Proficiency in Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, etc. • Experience with Agentic AI, LLMs, and RAG architectures. • Hands-on experience with Google Vertex AI, GCP ML, and other cloud platforms (AWS, Azure). • Familiarity with AI platforms, their capabilities, and limitations. • Ability to design, implement, and deploy scalable AI models. • Strong analytical and communication skills to interpret complex data and convey insights effectively. Key Responsibilities • Design and implement Generative AI models using Vertex AI and GCP ML tools. • Develop and optimize Natural Language Processing (NLP) solutions for various business use cases. • Apply Retrieval-Augmented Generation (RAG) techniques and neural network architectures to enhance model performance. • Build and deploy models using AI/ML frameworks such as TensorFlow, PyTorch, etc. • Integrate Agentic AI capabilities into existing systems and workflows. • Enable and manage LLM-based solutions using platforms like OpenAI, Azure OpenAI, and Google Vertex AI. • Utilize cloud-based ML services including AWS SageMaker, Azure Machine Learning, and GCP AI Platform. • Collaborate with data scientists, engineers, and product teams to align AI solutions with business goals. • Ensure scalability, reliability, and performance of deployed models. • Stay updated with the latest advancements in GenAI and cloud-based ML technologies.