Specialty Development Practitioner #
Job Description:
Position Description: • Training, Building, and Deployment of Machine Learning /Deep Learning models • Work with Technical Anchors, Product Managers and Software Engineers within and across the team. • Interpret functional and non-functional requirements of business, security aspects around the same and deliver accordingly • Software Development using Test Driven Development (TDD) approach • Understanding and adapt quickly to external Products/Tools to integrate to ML Platforms • Adapt to GCP services Primary Skills Required: • Experience in Machine Learning/Deep Learning Algorithms • Building, developing, Deploying Models (XGBoost, DataRobot, TensorFlow, PyTorch, Computer Vision, etc.) • Working Experience on GCP functionalities/Services – GCS, Big Query, Vertex AI, Cloud Build, DataProc, DataFlow • Working Experience of DevOps tools like CI/CD Pipeline, Tekton, Terraform, Splunk, etc. and GitHub for repositories • Experience in developing, deploying to on Prem/Cloud environment – PCF/Kubernetes (OpenShift) etc. • Good knowledge on Kubernetes • Experience in working with Agile Framework (Backlog, Iterations, User Stories) • Experience in Python programming • Experience of API Management • Nice to have the experience of Seldon Deploy, SonarQube. • Good communication, presentation, and collaboration skills
 
Skills Required:
Google Cloud Platform Google Storage Vertex AI PowerShell scripting/Automation Terraform for Google Cloud Platform Tekton Docker/Podman OpenShift Test Driven DEvelopment SonarQube Git/GitHub
 
Skills Preferred:
Seldon Deploy GCP services/product knowledge of BigQuery, Pub/Sub
 
Experience Required:
Practical experience in developing pipelines in GCP Experience with OpenShift is preferred Experience with logging and monitoring tools (like Prometheus/Grafana/Elastic Search/Dynatrace etc.) are preferred
 
Education Required:
B.E / M.Tech / MCA