Data Engineering and Analytics Specialist

6 days ago

Hyderabad, Telangana, India EverestDX Inc Full time
About EverestDX

Everest DX is a Digital Platform Services company, headquartered in Stamford. Our platform includes Orchestration, Intelligent operations with BOTs', 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.

We specialize in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application, and migrate existing applications into secure, multi-cloud environments to support digital transformation.

Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, lower costs, and speed up digital transformation. For more information, please visit https://www.everestdx.com.

Job Title: ML Ops Engineer

Location: Remote

Job Type: Full-Time

Experience: 6-8 Years of Relevant Work Experience

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.
  • Participate in the design and development of infrastructure for ML model training and deployment.
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 - $180,000 per year

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