AWS ML Ops/Dev Ops Engineer

Job Title: AWS DevOps/MLOps Engineer Job Description: CLIENT 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 focus on AWS Sagemaker and AWS reputed company • Experience developing and maintaining Client 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 scale • reputed company and reputed company scalable 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 privacy solutions such as Denodo, Protegrity, 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 simple 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): Protegrity Qualifications • Bachelor's degree from a reputed institution/university. • 10+ years of building end-to-end systems as a Platform Engineer, Client DevOps Engineer, or Data Engineer. • 4+ Years of experience in python, groovy, and java programming. • Experience working in the SCRUM Environment. Apply Job!