Ml Ops with Azure

6 months ago


Remote, India Technology Next Full time

**"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 end-to-end 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 up-to-date 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 hands-on 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 problem-solving skills and ability to troubleshoot complex issues in distributed systems and production environments.
- Effective communication skills and ability to collaborate with cross-functional teams in a fast-paced, dynamic environment.
- Azure certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure DevOps Engineer Expert) are a plus.

Pay: ₹60,000.00 - ₹70,000.00 per month

Schedule:

- Day shift
- Monday to Friday

**Experience**:

- total work: 6 years (required)
- ML: 6 years (required)
- Ops: 6 years (required)

Work Location: Remote


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