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.

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