Cloud Solutions Architect

3 days ago

Hyderabad, Telangana, India EverestDX Inc Full time

About EverestDX

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Everest DX is a Digital Platform Services company, headquartered in Stamford. Our platform solution includes orchestration, intelligent operations with bots and AI-powered analytics for Enterprise IT. Our vision is to enable digital transformation for enterprises to deliver seamless customer experience, business efficiency, and actionable insights through an integrated set of futuristic digital technologies.

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Digital Transformation Services

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We specialize in designing, building, developing, integrating, and managing cloud solutions and modernizing data centers, building cloud-native applications, and migrating existing applications into secure, multi-cloud environments to support digital transformation.

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Our Digital Platform Services

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Enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding up digital transformation.

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Job Overview

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We are seeking a skilled and experienced Cloud Solutions Architect to join our dynamic team. The ideal candidate will have a strong background in machine learning operations (ML Ops) and DevOps, with expertise in configuring CI/CD pipelines and working with Azure Data Factory (ADF) pipelines on Databricks. You will be responsible for the seamless deployment, integration, and management of machine learning models into production environments.

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Key Responsibilities

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  • Configure, manage, and maintain CI/CD pipelines for deploying machine learning models and applications in production.">
  • Work with Azure Data Factory (ADF) pipelines integrated with Databricks to manage data workflows for machine learning projects.">
  • Develop, deploy, and monitor machine learning models and ensure seamless integration into production environments.">
  • Leverage ML-Flow to manage machine learning lifecycle, including tracking experiments, model training, and deployment.">
  • Collaborate with data scientists and engineers to optimize data processing and model deployment workflows.">
  • Ensure the scalability, performance, and reliability of production-level ML models and systems.">
  • Implement automated testing strategies for ML models and pipelines.">
  • Troubleshoot and resolve production issues related to machine learning models, data pipelines, and infrastructure.">
  • Participate in the design and development of infrastructure for ML model training and deployment.">
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Required Skills & Qualifications

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The ideal candidate should have 6-8 years of experience in ML Ops and DevOps, with a strong understanding of cloud platforms (preferably Azure). They should also have hands-on experience in configuring CI/CD pipelines for machine learning workflows, working with Azure Data Factory (ADF) pipelines, and leveraging ML-Flow for model tracking and versioning.

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Estimated Salary: $120,000 - $160,000 per year

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Benefits

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We offer a competitive salary, opportunities for growth and professional development, and a collaborative culture that encourages creativity and innovation.

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Why Choose Us

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We invest in our employees' skills development through training, certifications, and access to cutting-edge projects in digital transformation. Our agile work environment promotes open communication, creativity, and innovation, making us an attractive choice for professionals looking to advance their careers.

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Contact Information

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