Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Qualification
JD GenAI Platform Support Engineer Infrastructure Cloud Experience DevOps Deployment Solutions Tools Techniques Terraform AWS Python Job Summary As a GenAI Platform Support Engineer you will provide technical expertise and support for our Generative AI platform You will work closely with cross functional teams to troubleshoot issues implement enhancements monitor system performance and ensure smooth efficient operation of the platform Key Responsibilities Assess and improve the resilience of the AI platforms data pipelines Ensure AI ML models deployed are fault tolerant scalable and optimized for real time use cases Identify and resolve bottlenecks in model inference and training workflows Collaborate with DevOps teams to enhance deployment processes and infrastructure Implement automated testing frameworks to validate fault tolerance and operational robustness Provide frontline technical support troubleshoot platform issues and respond to user queries promptly Monitor platform health using observability tools and apply optimization strategies proactively Document technical processes incidents and resolutions to build a strong knowledge base Stay current with emerging trends and advancements in generative AI technologies and cloud tooling Qualifications Bachelors degree in Computer Science Engineering or related field Proven experience in support and maintenance of complex platforms Strong knowledge of database management systems SQL NoSQL Hands on experience with cloud platforms such as AWS Azure or GCP Expertise in provisioning cloud services using Infrastructure as Code tools like Terraform Familiarity with OpenAI and generative AI cloud services is a plus Proficient in scripting languages including Python and Shell scripting Solid understanding of container orchestration using Kubernetes OpenShift preferred Experience troubleshooting services deployed in Kubernetes environments Strong knowledge of DevOps build and release pipelines and infrastructure requirements Familiarity with AI related tools such as LangChain LangSmith LiteLLM UiPath AI Center Azure OpenAI platform is beneficial Skilled in observability and monitoring tools like Prometheus Grafana CloudWatch and Azure OpenAI monitoring with dashboard setup capabilities Experienced with GitHub Actions Jenkins and Ansible automation frameworks Knowledge of cloud security and compliance best practices including IAM roles and secrets management Vault AWS Secrets Manager Excellent problem solving abil.
Key job details
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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