| AI Architect // Raleigh (North Carolina) // Contract at North, Virginia, USA |
| Email: [email protected] |
| Position: DaaS + AI Architect Location: Raleigh (North Carolina) US, Hybrid Key Responsibilities: Architect and design end-to-end AI solutions, with a focus on NLP and computer vision based AI applications. Collaborate with cross-functional teams to gather requirements, define solution architectures, and drive implementation. Evaluate and select appropriate AI technologies, frameworks, and platforms to support solution development. Design and implement data pipelines, models, and algorithms to support NLP-based solutions. Provide technical leadership and guidance to development teams throughout the solution development lifecycle. Stay up-to-date with the latest advancements in AI technologies and best practices, and incorporate them into solution designs. Should have gook technical knowledge in data Migration, data cleansing and standardization. Should have knowledge on data import and export utilities. Should have Working experience and expertise on EDQ tool. Understanding Business requirements. Participate in CRP, UAT and Go Live. Migration experience in different instances. Excellent communication skills. Must Have Qualifications: Bachelor's or masters degree in computer science, Engineering, or a related field. 12 - 14 years of overall experience in the IT industry. Minimum of 4 years of experience in architecting AI solutions. Proficient experience in architecting and designing NLP-based solutions and conversational AI applications . Strong knowledge of machine learning algorithms, deep learning frameworks, and AI technologies. Experience working with large-scale data processing technologies and distributed computing platforms. Experience with Azure cloud platform and Cognitive services Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and clients. Good to Have Qualifications: Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with DevOps practices and tools for AI model deployment and management. Experience working in Agile/Scrum development environments. Strong analytical and problem-solving skills, with the ability to analyze complex data and derive insights. Experience with text analytics, sentiment analysis, and other advanced NLP techniques. -- Keywords: artificial intelligence information technology golang |
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| Fri Feb 02 20:07:00 UTC 2024 |