ETIC, AI Solution Architect - Manager

Full Description

Creating technical architectures and choosing ideal tools & technologiesDeveloping and implementing AI models and algorithmsPlanning for the integration of newly created solutions into the existing ecosystemTranslating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the projectWork closely with security and risk leaders to foresee and overturn risksCollaborate with data scientists and AI professionals to augment digital transformation effortsKeep up to date with new technologies and solutions that can add valueRequirements:Degree in Computer Science or related fieldMinimum 8+ years of experience in Applied AI Solution ArchitectureProficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorchExperience with programming languages such as Python, Java, and C++Familiarity with cloud computing platforms such as AWS, Azure, and Google CloudExperience with big data technologies such as Hadoop and SparkKnowledge of data warehousing and ETL toolsExcellent problem solving and communication skillsAbility to work independently as well as in a teamAbility to handle customer queries and provide timely solutionsPreferable : To have a minimum of a master s degree in computer science, data science or an AI-related discipline.

You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis.

You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.

The PwC ETIC is looking for an experienced Applied AI Solution Architect to join our team.

The successful candidate will be an integral part of our team and will be responsible for providing technical consulting services to our clients. As a consultant, you will be able to envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline.br> br>The successful candidate must have a solid technical background in the workflow and pipeline architectures of ML and deep learning. Other responsibilities will include providing guidance to clients on business requirements and developing solutions based on best practices and industry trends.br> br>The ideal candidate must have superior communication and problem-solving skills, as well as deep expertise in advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). They must also have a passion for delivering solutions that exceed the needs of our clients.br> br>We are looking for someone who is a team player, proactive, and able to effectively manage multiple tasks. The successful candidate should also have excellent presentation skills and be able to quickly adapt to changing customer requirements.