AI Platform Engineer

Role Overview: As an AI Platform Engineer at our MNC client, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Your expertise in ML frameworks, Python development, and statistical techniques will be crucial in executing AI projects successfully. Key Responsibilities: - Hands-on experience with Azure, Azure Kubernetes Service (AKS), Azure Cloud Services, ModelOps, and RAG - Develop AI/ML applications using TensorFlow, PyTorch, Keras, Spacy, and scikit-learn - Utilize Python open-source software stack like Django, Flask, Django Rest, and FastAPI - Deep understanding of ML models, deep learning, NLP, GANs, and other generative models - Work with RAG technologies, LLM frameworks, Azure OpenAI, Google Vertex Gen AI, and AWS LLM models - Collaborate with cross-functional teams to implement GenAI solutions for clients - Design and implement GenAI use cases, projects, and POCs across various industries - Enhance GenAI solutions by incorporating information retrieval mechanisms and frameworks - Create and maintain data infrastructure for actionable insights - Engage with customers to deliver customized AI solutions and ensure project success - Conduct training sessions to improve data science skills within the organization Qualifications Required: - 7-10 years of relevant experience in AI & AI Platform - Hands-on experience with Azure, Azure Kubernetes Service, Azure Cloud Services - Expertise in ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn - Expert level experience in Python development for AI - Strong statistical skills and knowledge of advanced statistical techniques Note: Interested candidates must be able to join immediately. Kindly provide your experience, current CTC, expected CTC, and notice period when applying for the position. We look forward to having you on board at our MNC client! Regards, Syed Role Overview: As an AI Platform Engineer at our MNC client, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Your expertise in ML frameworks, Python development, and statistical techniques will be crucial in executing AI projects successfully. Key Responsibilities: - Hands-on experience with Azure, Azure Kubernetes Service (AKS), Azure Cloud Services, ModelOps, and RAG - Develop AI/ML applications using TensorFlow, PyTorch, Keras, Spacy, and scikit-learn - Utilize Python open-source software stack like Django, Flask, Django Rest, and FastAPI - Deep understanding of ML models, deep learning, NLP, GANs, and other generative models - Work with RAG technologies, LLM frameworks, Azure OpenAI, Google Vertex Gen AI, and AWS LLM models - Collaborate with cross-functional teams to implement GenAI solutions for clients - Design and implement GenAI use cases, projects, and POCs across various industries - Enhance GenAI solutions by incorporating information retrieval mechanisms and frameworks - Create and maintain data infrastructure for actionable insights - Engage with customers to deliver customized AI solutions and ensure project success - Conduct training sessions to improve data science skills within the organization Qualifications Required: - 7-10 years of relevant experience in AI & AI Platform - Hands-on experience with Azure, Azure Kubernetes Service, Azure Cloud Services - Expertise in ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn - Expert level experience in Python development for AI - Strong statistical skills and knowledge of advanced statistical techniques Note: Interested candidates must be able to join immediately. Kindly provide your experience, current CTC, expected CTC, and notice period when applying for the position. We look forward to having you on board at our MNC client! Regards, Syed