Digital Transformation Expert

1 week ago


Hyderabad, Telangana, India EverestDX Inc Full time

Everest DX Inc

Overview of Digital Transformation

We are a leading provider of digital transformation services, headquartered in Stamford. Our platform includes orchestration, intelligent operations with bots, AI-powered analytics for Enterprise IT. We enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speed digital transformation.

Job Overview

We are seeking an experienced Digital Transformation Expert to join our team. The ideal candidate will have a strong background in ML Ops/DevOps, with expertise in configuring CICD pipelines and working with ADF Pipelines on Databricks. You will be responsible for the seamless deployment, integration, and management of machine learning models into production environments.

Key Responsibilities
  • 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
Required Skills & Qualifications
  • 6-8 years of experience in ML Ops, DevOps
  • Strong hands-on experience in configuring CI/CD pipelines for machine learning workflows
  • Proven experience working with Azure Data Factory (ADF) pipelines and Databricks
  • In-depth knowledge of ML-Flow for model tracking and versioning
  • Proficiency in Python for model development, deployment, and automation tasks
  • Experience with containerization technologies like Docker and orchestration tools such as Kubernetes
  • Solid understanding of cloud platforms (preferably Azure)
  • Strong problem-solving skills and ability to troubleshoot complex issues related to machine learning pipelines and models
  • Excellent communication and collaboration skills, with the ability to work in cross-functional teams
Estimated Salary: $120,000 - $160,000 per year

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