AWS Machine Learning Architect

#FastGrowingCompany #GreatPlaceToWork As you may already be aware, the technology industry is perpetually expanding, now more than ever! That's why we are continuously seeking the finest tech talents in Latin America to become part of diverse, multicultural teams worldwide. Being a #PeopleFirst company, your welfare is important to us. We want you to be part of the #AlliedExperience and elevate your career. We offer excellent benefits, an easy-going and modern work culture, where you can fully develop. Important! - Proficiency in English (80%) is required. Responsibilities 1. Collaborate with our team to provide machine learning solutions on AWS. 2. Breakdown business objectives into architecture and Sprint-level tasks. 3. Having had extensive hands-on experience, lead engineers in crafting solutions. 4. Attend daily standup meetings and tackle technical issues. 5. Design and document ML models, MLOps, and analytics. 6. Big data processing and preparation of training data for models. 7. Integration with AWS, AI/ML services (comprehend, recognition, transcribe). Qualifications 1. Excellent verbal and written communication. 2. At least 5 years of hands-on experience in most of these MLD tools/techniques: 3. Build ML models in SageMaker 4. Build ML models in frameworks like Tensorflow & PyTorch and deploy in SageMaker. 5. Train and deploy AWS pre-trained AI Services and Foundational Models 6. Construct and optimize ML models 7. Integrate ML models into real-time applications and batch workflows 8. Infrastructure design and optimization 9. Monitor, evaluate and continually improve model performance, also automate these tasks, using one or more tools for MLOps. 10. Data integration, cleansing, transformation, and visualization using Python packages, SQL, etc. 11. AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS, etc. 12. Experience with an IaC tool such as CloudFormation, CDK or Terraform.