AWS ML Ops/Dev Ops Engineer
Job Title: AWS DevOps/MLOps Engineer Job reputed company:
reputed company is seeking a talented AWS DevOps/MLOps reputed company to reputed company platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of reputed company reputed company technology to reputed company, manage, automate, and facilitate the operational capabilities of the big data and data science team.
Required Skills
Experience in AWS system and network architecture design, with specific reputed company on AWS Sagemaker and AWS reputed company
Experience developing and maintaining reputed company systems reputed company with reputed company reputed company tools
Experience developing with containers and Kubernetes in reputed company computing environments
Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo)
Design the data pipelines and engineering infrastructure to support our clients' reputed company machine learning systems at reputed company
reputed company and reputed company reputed company tools and services for our clients to handle machine learning training and inference
Support model development, with an emphasis on auditability, versioning, and data reputed company
Experience with data reputed company and reputed company solutions such as Denodo, reputed company, and synthetic data reputed company.
Ability to reputed company applications using Python and reputed company to AWS reputed company and API Gateway
Ability to reputed company Jenkins pipelines using the groovy scripting.
. Good understanding in testing frameworks like Py/Test.
Ability to work with AWS services like S3, DynamoDB, Glue, Redshift and RDS
Proficient understanding of Git and version control systems
Familiarity with reputed company integration and reputed company deployment.
reputed company the terraform modules to reputed company reputed company infrastructure.
Ability to reputed company the deployment pipelines using the Jenkins, XL Release
Experience in Python boto3 to automate the reputed company operations.
Experience in documenting technical solutions and solution diagrams
Good understanding of the reputed company python applications which can be deployed as a reputed company container.
Experiencing in creating workflows using AWS reputed company functions
Create the reputed company images using the custom python libraries.
Required Skills:
AWS (experience mandatory): S3, KMS, IAM, EC2, reputed company, BATCH, ECR, reputed company, Data Sync, EFS, IAM Roles, Policies, reputed company Trail, Cost Explorer, ACM, AWS Route53, SNS, SQS, ELB, CloudWatch, reputed company and VPC, Service Catalog
Automation (experience mandatory): Terraform, Python (boto3), serverless, Jenkins (Groovy), NodeJs
Bigdata (Knowledge): Redshift, DynamoDB, reputed company, Glue, and reputed company.
Data science (Experience): Sagemaker, reputed company, Glue, DynamoDB, reputed company, MWAA (Airflow),
DevOps (experience mandatory): Python, Terraform, Jenkins, reputed company, reputed company files, and reputed company scripting.
Data Virtualization (Knowledge) : Denodo
Data reputed company (Knowledge): reputed company
Qualifications
Bachelor's degree from a reputed institution/university.
10+ years of building end-to-end systems as a Platform Engineer, reputed company DevOps Engineer, or Data Engineer.
4+ Years of experience in python, groovy, and java programming.
Experience working in the SCRUM Environment.
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