| Senior Solution Architect (AI ML) - Plano ,Texas - ONSITE at Plano, Texas, USA |
| Email: [email protected] |
| From: Raghuteja, W3Global [email protected] Reply to: [email protected] Hi , Greetings from W3Global Inc!! This is Raghu Please find below job. if you are looking for new job please share your updated resume. Title - Senior Solution Architect (AI/ML) Location Plano ,Texas Job Description: Hiring team said - These are the questions for Sr. Solution Architects. Check from candidates Best practices which you applied while building GenAI Apps Tell us about Tokens Reduction mechanism GenAI in Healthcare - use cases Challenges faced during integration with omni channel apps with GenAI How do you detect Anomaly in patient details How do you secure GenAI Apps How do you handle AI Bias in Healthcare Different Deployment Models adopted in your projects How do you decide on picking the right vector database Tells us about your experience in testing GenAI models in CPU to GPU Steps to achieve unsupervised learning model GenAI Gateway reference APIM Conversational AI - ASR, TTS, and building Sentimental Analytics AI Limitations in Healthcare industries Image recognition with GenAI What architecture would you propose for securely fine-tuning large language models on confidential enterprise data while ensuring privacy and data protection How would you design a continuous training pipeline for a Gen AI model that can integrate new data while preserving its performance on current tasks Senior Solution Architect (AI/ML) Job Overview: We are seeking a highly skilled and experienced Senior Solution Architect with a focus on building AI/ML based solutions. The ideal candidate will play a critical role in designing and implementing AI-driven solutions across our omnichannel platforms to eliminate / reduce human interaction. This role requires a conceptual understanding of AI technologies, with the goal of personalizing user experiences. Key Responsibilities: Lead the design of AI-based solutions for personalized customer experiences across omnichannel platforms (web, mobile, chatbots, voice, etc). Ensure alignment of AI solutions with enterprise architecture and industry best practices, including compliance with healthcare regulations. Prepare conceptual Design / Arch systems that leverage machine learning, natural language processing (NLP) and GenAI to enhance customer interactions, including virtual assistants and recommendation engines. Stay updated on the latest advancements in AI, machine learning, and healthcare technologies by reviewing whitepapers, research papers, and industry reports. Evaluate new AI technologies and trends, proposing innovations that align with business needs and competitive market demands. Engage with business stakeholders, including product owners and department heads, to translate business requirements into AI-enabled solutions. Participate in JAD session with product and help them realize art of possible using AI technologies. Present AI strategies and architectures to stakeholders, demonstrating the value and impact on business outcomes. Partner with data scientists, software engineers, and UX teams to architect end-to-end AI systems. Develop and maintain comprehensive architecture documentation, including AI model lifecycles, data flow diagrams, and integration plans. Required Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related field. 8+ years of experience in solution architecture with a focus on AI and machine learning. Understanding of AI technologies, including machine learning, deep learning, NLP, and predictive analytics. Understanding of AI limitation including Governance, Bias etc. Experience in reviewing and analyzing technical whitepapers and research papers to inform AI strategy. Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders. Keywords: artificial intelligence machine learning user experience Senior Solution Architect (AI ML) - Plano ,Texas - ONSITE [email protected] |
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| Fri Nov 01 04:27:00 UTC 2024 |