AWS Machine Learning Architect

#FastGrowingCompany #GreatPlaceToWork

As you should already know, the technology industry is constantly growing, today more than ever! This is why we are always in search of the best tech talent in Latin America to integrate multidisciplinary, multicultural teams all over the world.

As a #PeopleFirst company, we will care about you. That's why we want you to join the #AlliedExperience and upgrade your career, we have excellent benefits, with a comfortable and modern work culture, where you can develop to the fullest.

Important! -  80% of English is a must.

Responsibilities

• Work with our team to deliver machine learning solutions on AWS.
• Decompose business goals into architecture and Sprint-level tasks.  
• Having had thorough hands on experience, lead engineers in building solutions.  
• Participate in daily standup meetings and address technical issues.  
• Design and document ML models, MLOps, and analytics. 
• Big data processing and preparation of training data for models.  
• Integration with AWS, AI/ML services (comprehend, recognition, transcribe).

Qualifications

• Excellent verbal and written communication.
• At least 5 years of hands on exprience in most of these MLD tools/techniques:
• Build ML models in SageMaker
• Build ML models in frameworks like Tensorflow & PyTorch and deploy in SageMaker.  
• Train and deploy AWS pre-trained AI Services and Foundational Models
• Build and optimize ML models 
• Integrate ML models into realtime applications and batch workflows
• Infrastructure design and optimization
• Monitor, evaluate and continuously improve model performance, as well as automate these tasks, using one or more tools for MLOps.
• Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.
• AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS, etc.
• Experience with an IaC tool such as CloudFormation, CDK or Terraform.