Sr. AI/ML Specialist Solutions Architect (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Sr. AI/ML Specialist Solutions Architect (AWS): Designing and implementing scalable AI/ML solutions on the AWS platform with an accent on SageMaker and other AI/ML services. Focus on building technical architectures, collaborating with data science teams, and translating business needs into technical deployments.
Location: Remote in Brazil. Mandatory office attendance for candidates residing in the Campinas Metropolitan Region.
Company
A global technological transformation company with 30 years of experience and over 8,000 employees specializing in scalable tech solutions and AI.
What you will do
- Design AI/ML solutions leveraging the AWS cloud platform and services such as SageMaker, Rekognition, Lex, and Polly.
- Collaborate with customers' development and data science teams to deeply understand business and technical needs.
- Act as a technical liaison between customers and AWS SageMaker services teams to provide product improvement feedback.
- Develop production-level, explainable code for AI platforms and standards.
Requirements
- Must be based in Brazil.
- 5+ years of professional software development experience in Python or R.
- 3+ years of experience in technical architecture, design, and deployment for AI platforms.
- Solid experience in design, implementation, and consulting for Machine Learning and Deep Learning solutions.
- 1+ years of experience with Deep Learning frameworks such as TensorFlow, Keras, Torch, or Apache MXNet.
Nice to have
- Graduate degree in Computer Science, Machine Learning, Statistics, or Mathematics.
- Experience with AWS technologies including Redshift, S3, EC2, Data Pipeline, Kinesis, and EMR.
- Knowledge of SparkML and experience working with GPUs for model development.
- Track record of publications in recognized ML/DL journals or public technical presentations.
Culture & Benefits
- Comprehensive health and dental insurance.
- Meal and food vouchers.
- Extended parental leave and childcare assistance.
- Wellness partnerships via Wellhub (Gympass) and TotalPass.
- Profit sharing (PLR) and life insurance.
- Continuous learning through University and language learning platforms.
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