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Master AI​/Machine Learning Specialist; AWS), Brazil

Job in Brazil, Clay County, Indiana, 47834, USA
Listing for: CI&T
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: [Job-27453] Master AI/Machine Learning Specialist (AWS), Brazil

Employer Industry: Technology and AI Solutions

Why consider this job opportunity:
  • Opportunity for career advancement and growth within a global tech transformation specialist
  • Comprehensive health and dental insurance coverage
  • Meal and food allowance to support daily needs
  • Profit sharing and results participation (PLR) for financial rewards
  • Access to a continuous learning platform (CI&T University) for skill enhancement
  • Inclusive environment with support for individuals with disabilities
What to Expect (Job Responsibilities):
  • Design and develop robust and scalable AI solutions for various business challenges
  • Utilize foundation models on Amazon Bedrock and Amazon Sage Maker to meet performance requirements
  • Analyze large datasets to automate and optimize key processes
  • Communicate complex mathematical concepts effectively to both technical and non-technical stakeholders
  • Deploy large-scale machine learning or deep learning models into production, handling both batch and real-time data processing
What is Required (Qualifications):
  • Bachelor's degree in computer science or equivalent experience; a master's degree is preferred
  • Proven experience in machine learning, deep learning, natural language processing (NLP), computer vision (CV), graph neural networks (GNN), or distributed training
  • Solid experience in developing and deploying machine learning or deep learning models in production environments
  • Proficiency in communicating in English and Portuguese in technical and business contexts
  • Familiarity with AWS services such as Sage Maker, EMR, S3, Dynamo

    DB, and EC2
How to Stand Out (Preferred Qualifications):
  • Practical knowledge of generative AI and hands‑on experience in prompt engineering and deploying large foundational models
  • Experience with advanced analytics and data processing techniques

Tags: #Technology #AI #Machine Learning #Career Growth #Inclusive Workplace

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