Descrição de Vaga

Código: 5662
Título da vaga:
Local: São Paulo,São Paulo
Região: Outra
Tipo de emprego: PJ
Nível Profissional:
NÍvel Acadêmico: Ensino Médio Completo
Habilidades: 1. Cliente name : J&J
2. Contractor job code: TBC
3. Job Title (platform / module / experience level): Machine Learning Engineer (MLOps Expert)
4. Number of open positions: 1
5. Project location (city / state / remote service or not / planning after pandemic): São Paulo, remote service

7. Duration of the project: Initially, until end of year, with high probability of extension to 2022
8. Start date expected / allocation or C2H: ASAP
9. Language skills / level (basic, intermediate, advanced, fluent): Advanced
10. Detailed Job Description / tasks / type of project / support / implementation / improvements: Bellow)

Machine Learning Engineer (MLOps Expert)
English: Advanced
Senior Level: Autonomy, good communication and at least experience in 3-4 projects with Machine Learning & Advanced Analytics
Required knowledge:
Knowledge in Cloud Services (AWS) data applications building and data pipelines creation/curation is mandatory
MLOps knowledge and experience are mandatory;
Advanced Knowledge in Machine Learning is mandatory;
CI/CD platforms experience (Jenkins/Docker/Kubernets) are mandatory;
Amazon SageMaker Service is mandatory;
Advanced Knowledge in Python language is mandatory
Database/Data Warehouse (e.g. AWS Redshift, SQLDW, Postgres). Previous experience with Stored Procedures and UDF’s is mandatory;
Knowledge in Apache Airflow platform is a strong plus
Remuneração Básica: -   - 
Benefícios: 0
Resumo da Vaga: Contract JC : TBC
Customer : Clever Device
Role : Lead L1
Position : 1
Experience : 5 – 8 Years
Location : Sao Paulo, Brazil
Key skills required for the job are:
· Data Analysis-L3 (Mandatory)
· SQL Server (Strong SQL/PLSQL) Experience
· Testing
· Systems Engineering Experience with Installations, deployments will be a plus.
· Ipython-L3/scripting will be an added advantage
Job description
· Should speak Portuguese & English confidently.
· Should be a Team player
· Must to have Customer Handling including Communication and presentation skills
· Proactively update status to relevant Customer/Wipro stakeholders
· Should be ready to work on project dependent hardwares/products/configuration

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