
Ml Ops
10 hours ago
We are seeking a talented ML Ops engineer to join our team and play a key role in deploying, managing
in both machine learning and software engineering, with experience in DevOps practices and cloud
computing.
Roles & Responsibilities:
Collaborate with data scientists and software engineers to deploy machine learning models into
production environments.
Design and implement scalable and reliable ML pipelines for model training, evaluation and
deployment.
Develop and maintain infrastructure automation scripts for provisioning, configuration, and
orchestration using platforms such as Resource Manager (ARM) templates, Automation,
PowerShell, or other relevant tools.
Optimize ML pipelines for efficiency, scalability and cost-effectiveness
Monitor, optimize, and troubleshoot Azure/AWS resources and services to ensure high
Implement security policies, access controls, and encryption protocols to safeguard Azure/AWS
environments and data, adhering to compliance and governance requirements.
Collaborate with development teams to streamline the continuous integration and continuous
delivery.
Provide expertise and support in areas such as Azure/AWS cost management, capacity planning,
scalability, and disaster recovery strategies.
Participate in the evaluation of new Azure/AWS offerings, technologies, and services to drive
innovation and improve the overall cloud environment.
Qualifications External/Internal
What you will need to succeed in the role: (Minimum Qualification and Skills Required)
Bachelors degree in Computer Science, Information Technology, or a related field; relevant
certifications such as Microsoft Certified: Azure Administrator Associate or Microsoft Certified:
Azure Solutions Architect Expert preferred.
INTERNAL
Strong proficiency in Python programming and familiarity with machine learning frame works
such as TensorFlow or Pytorch.
Proficiency in implementing and managing security, identity, and access management solutions,
leveraging Active Directory, Security Center, and other
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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