Cloud AI Consultant II, Professional Services (English)
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- São Paulo - SP
- Permanente
- Período integral
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; São Paulo, State of São Paulo, Brazil.Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in project management and delivering technical solutions.
- Experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence.
- Experience with technical client service (e.g., consulting).
- Ability to communicate in English fluently, in order to interact with clients in the region.
- Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
- Experience designing and deploying with one or more of the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
- Experience in designing and deploying agentic AI workflows for business process automation.
- Experience implementing AI solutions in contact center environments.
- Experience in systems design with the ability to architect and explain data analytics pipelines and data flows.
- Excellent verbal and written communication, presentation and problem-solving skills.
- Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement.
- Propose solution architectures and manage the deployment of cloud based machine learning solutions according to customer requirements and implementation best practices.
- Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
- Travel approximately 30% of the time for client engagements.