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Devops Engineer- Gcp+Python

Devops Engineer- Gcp+Python

Achnet

6 - 10 years

8 - 12 Lacs

Bengaluru

Posted:6 hours ago| Platform:

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Skills Required

SAN Automation Change management Software design metadata Manager Quality Assurance Image processing Workflow Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Programming & Development

Python: Advanced proficiency in Python development

Software Design: Ability to create maintainable, well-tested code with proper error handling

DevOps & Infrastructure

Containerization: Docker image building and optimization

Package Management: Creating and maintaining Python packages and dependencies

Orchestration: Experience with Kubernetes and/or RunAI

CI/CD: GitHub Actions workflow design and implementation

Cloud Platforms: GCP experience, particularly with tools like Cloud Batch or similar services

Resource Management: GPU allocation and workload optimization

Infrastructure Automation

Workflow Pipelines: Design and implementation of automated data workflows (processing, evaluation, deployment)

Artifact Management: Experience with versioning, storage, and metadata tracking for models or data artifacts

Data Versioning: Implementing dataset versioning and change management

Format Conversion: Knowledge of artifact optimization and format conversion (e.g., ONNX, TFLite, TensorRT, SNPE)

Additional Technologies [Optional]

API Development: Experience creating RESTful services and endpoints

Configuration Systems: Experience with Hydra or similar configuration frameworks

Experiment Tracking: Familiarity with W&B, MLflow, or similar tracking tools

Image Processing: Understanding of computer vision workflows and image handling tasks

Testing & Quality Assurance

Automated Testing: Unit, integration, and E2E test implementation for software systems

Performance Evaluation: Metrics calculation and performance benchmarking

Current Projects & Responsibilities

Design and implement end-to-end deployment and monitoring pipelines
Create automated workflows for data processing, quantization, conversion, and evaluation
Develop version-controlled registries with comprehensive metadata capabilities
Build systems for automated testing across multiple target architectures
Implement robust data versioning and dataset management solutions
Maintain CI/CD pipelines for software and system lifecycle management
Optimize Docker environments for development and deployment
Develop Python libraries and APIs for internal consumption

QUALIFICATIONS

Must Have Skills

Python
Docker
Kubernetes
GCP
Cloud Batch
GPU
ONNX
TFLite
TensorRT
SNPE

Good To Have Skills

GitHub Actions
RESTful
Hydra
WB
MLflow
Computer Vision

Minimum Education Level

No Education Requirement

Years of Experience

6-0 years

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