| AWS DevOps/MLOps Lead @ Plano, TX [ (Day one Onsite) at Plano, Texas, USA |
| Email: [email protected] |
| Job Title: AWS DevOps/MLOps Lead Location: Plano, TX [ (Day one Onsite) For ML Ops, we need a Strong expertise who can be the Lead Architect with Hands-on experience Job Description: AWS DevOps/MLOps Lead to develop 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 cloud native technology to develop, 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 Sage maker and AWS ECS Experience developing and maintaining ML systems built with open source tools Experience developing with containers and Kubernetes in cloud 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 enterprise machine learning systems at scale Develop and deploy 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 security Ability to develop applications using Python and deploy to AWS Lambda and API Gateway Ability to develop 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 continuous integration and continuous deployment. Develop the terraform modules to deploy the standard infrastructure. Ability to develop the deployment pipelines using the Jenkins, XL Release Experience in Python boto3 to automate the cloud operations. Experience in documenting technical solutions and solution diagrams Good understanding of the simple python applications which can be deployed as a docker container. Experiencing in creating workflows using AWS step functions Create the docker images using the custom python libraries. Experience with data security and privacy solutions such as Denodo, Protegrity, and synthetic data generation. Required Skills: AWS (experience mandatory): S3, KMS, IAM, EC2, ECS, BATCH, ECR, Lambda, Data Sync, EFS, IAM Roles, Policies, Cloud Trail, Cost Explorer, ACM, AWS Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC, Service Catalog Automation (experience mandatory): Terraform, Python (boto3), serverless, Jenkins (Groovy), NodeJs Bigdata (Knowledge): Redshift, DynamoDB, Databricks, Glue, and Athena. Data science (Experience): Sagemaker, Athena, Glue, DynamoDB, Databricks, MWAA (Airflow), DevOps (experience mandatory): Python, Terraform, Jenkins, GitHub, Make files, and Shell scripting. Data Virtualization (Knowledge) : Denodo Data Security (Knowledge): Protegrity Qualifications: Bachelors degree from a reputed institution/university. 10+ years of building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer. 4+ Years of experience in python, groovy, and java programming. Experience working in the SCRUM Environment. Best Regards, Basireddy Karunakar |Sr. Recruiter Email: [email protected] -- Keywords: machine learning sthree information technology Texas AWS DevOps/MLOps Lead @ Plano, TX [ (Day one Onsite) [email protected] |
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| Thu Sep 19 23:08:00 UTC 2024 |