Cloud AI Architect

Role: Cloud AI Architect

Location: Texas/Boston/Chicago

Responsibilities:

Design develop and implement AI solutions that align with our business objectives (especially LLMs) Translate business requirements into technical specifications for AI models and systems Collaborate with crossfunctional teams to understand business needs and priorities Evaluate and select AI technologies and frameworks Develop and maintain AI models and systems Deploy AI models and systems to production Monitor and maintain the performance of AI models and systems Stay uptodate on the latest AI technologies and trends Lead data mining and collection procedures Conceive plan and prioritize data projects Build analytic systems and predictive models Align data projects with organizational goal Understands business problems and designs endtoend analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving ontime performance network planning etc. Provides thought leadership by researching best practices conducting experiments and collaborating with industry leaders Involve in presales planning and practice development activities

Qualification & Other Attributes:

• Overall 12 yrs of experience with Masters degree or equivalent in Computer Science Artificial Intelligence or a related field Minimum 5 years of experience in designing developing and implementing AI solutions.
• Should have experience in deploying Generative AI LLM in production either onprem or cloud.
• Experience with machine learning natural language processing and other AI technologies.
• Experience with cloudbased AI platforms such as Microsoft Azure or Google Cloud Platform or Amazon Web Services Strong experience and knowledge on Generative AI (LLM).
• Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN RNN GAN Markov etc Strong realtime experience with atleast one of the machine language softwares like R Python Matlab is mandatory.
• Experience in Version control systems (GitLab Github BitBucket etc).
• Good knowledge in Explainable AI Experience working with large data sets simulation/ optimization and distributed computing tools (Map/Reduce Hadoop Hive Spark etc.)
• Strong understanding of software development principles and practices.
• Excellent communication and collaboration skills Attitude to thrive in a fun fastpaced startup like environment.
• Additional advantage of having experience in semi unstructured databases like MongoDB Cassandra ArangoDB Couchbase GraphDB etc Optional: programming in C C Java .Net