Ml Ops with Azure - Remote, India - Technology Next

Technology Next

Verified Company

Remote, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

"ML Ops with Azure" (contractual)

Experience- 6+years

Tenure- 6 months (extendable upto 2-years)

Location- Remote

Timing- IST

Salary- INR (80k-90k) in hand

Skills set-

Responsibilities:

Design, implement, and maintain scalable and reliable machine learning infrastructure on Azure, ensuring smooth deployment and operation of machine learning models.
Collaborate closely with data scientists, machine learning engineers, and software developers to streamline the endtoend machine learning lifecycle, from model development to deployment and monitoring.
Develop automation scripts and tools to automate deployment processes, configuration management, and infrastructure provisioning, optimizing efficiency and reliability.
Manage Azure resources efficiently, including virtual machines, containers, storage, and networking components, to support machine learning workloads at scale.
Implement robust monitoring and logging solutions to track model performance, system health, and data quality, and proactively identify and address issues.
Work closely with DevOps teams to integrate machine learning workflows into CI/CD pipelines and ensure seamless integration with existing software development processes.
Stay uptodate with the latest advancements in Azure machine learning services, tools, and technologies, and evaluate their potential impact on our MLOps practices.
Provide guidance and mentorship to junior members of the team, fostering a culture of continuous learning and knowledge sharing.

Qualifications:

Bachelor's or master's degree in computer science, engineering, mathematics, or a related field.
Minimum of 6 years of professional experience in machine learning operations, with a focus on Azure cloud platform.
Extensive handson experience with Azure services such as Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Databricks, Azure DevOps, and Azure Monitor.
Proficiency in programming languages commonly used in machine learning and cloud environments, such as Python, R, and PowerShell.
Strong understanding of MLOps best practices, including model versioning, containerization, continuous integration, and continuous deployment (CI/CD).
Solid understanding of software development methodologies and practices, including agile development and version control systems (e.g., Git).
Excellent problemsolving skills and ability to troubleshoot complex issues in distributed systems and production environments.
Effective communication skills and ability to collaborate with crossfunctional teams in a fastpaced, dynamic environment.
Azure certifications (e

g,

Microsoft Certified:
Azure AI Engineer Associate,

Microsoft Certified:
Azure DevOps Engineer Expert) are a plus.

Pay:
₹60, ₹70,000.00 per month

Schedule: