Machine Learning Developer

IDESLABS PRIVATE LIMITED

5 - 10 years

7 - 14 Lacs

Hyderabad Pune Bengaluru

Posted:22 hours ago| Platform:

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Skills Required

deep learning image processing python natural language processing machine learning kubernetes aks azure devops ansible docker gen tensorflow spacy git devops linux pytorch jenkins shell scripting ocr ml github tornado ubuntu microsoft azure opencv

Work Mode

Work from Office

Job Type

Full Time

Job Description

Immediate Openings on Machine Learning Developer _ Pune/Hyderabad/Bangalore_ Contract

Experience 6+ Years

Skill Machine Leaning Developer

Notice Period Immediate

Employment Type Contract

Work Mode WFO/Hybrid

Principal responsibilities
Developers to build prod-ready models that will help with content extraction and classification from images and text-based sources.
Should have worked on projects related to Intelligent document processing using open source models.
Work with business and transformation teams to understand & formulate application specific design.
Collaborative with product managers, technical teams.
Create, test and iterate new and existing products and features.
Design and Build Python/ML/OCR-based components.
Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting development and production problems across multiple environments and operating platforms.
Should be able to troubleshoot development and production problems across multiple environments and operating platforms.
Experience is preferred in Agile/DevOps areas.
Must have
Strong in python, Machine learning, Deep learning, Natural language processing, Gen AI, Image processing, Document AI, OCR technology
Frame Works TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex
API Fast API, Tornado
Database Postgres, Mongo
OS RHEL, Ubuntu
Jenkins Pipeline, Docker, Kubernetes, Ansible Automation platform, Git, GitHub, shell/python scripts and Linux Fundamentals.
Nice to Have
Understanding of cloud computing fundamentals,
proficiency with Azure's core services like Azure Virtual Machines, through hands-on experience with the Azure portal and Azure CLI, Azure Kubernetes Service (AKS), Azure DevOps
basic knowledge of networking and security best practices.

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