AI Applications DevOps Intern

Location: Mumbai

Time Type: Full time

Job Description

Job Title

AI Applications DevOps Intern

Location(s)

Mumbai

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity 

Job Application Process

1) Review the Job Description in detail

2) Complete the mandatory questionnaire https://forms.cloud.microsoft/r/agdKBU4dTM

3) Submit the application on Workday

Only candidates who complete the questionnaire and apply for Job on workday will be considered for further evaluation.

AI Applications DevOps Intern 

 

What's in it for You 

• Experience personalized career journeys with growth-oriented development opportunities. 

• Engage in purpose-driven work that makes a positive impact on society. 

• Be part of a values-driven culture that fosters inclusivity and innovation. 

Your Superpowers in Action 

• Assist in designing, implementing, and maintaining CI/CD pipelines for AI application deployment on AWS infrastructure. 

• Collaborate with AI Development co-ops to automate LLM application deployment and testing workflows. 

• Help monitor and troubleshoot cloud-based AI systems using AWS CloudWatch, CloudTrail, and other monitoring tools. 

• Support containerization efforts using Docker and AWS ECS/EKS for ML applications. 

• Participate in implementing infrastructure-as-code using tools like AWS CloudFormation or Terraform. 

Basic qualifications 

• Currently pursuing a degree in Computer Science, Software Engineering, or related technical field. 

• Basic understanding of cloud computing concepts and AWS services (EC2, S3, Lambda). 

• Familiarity with at least one programming language (js preferred). 

• Knowledge of version control systems (Git). 

• Strong problem-solving skills and eagerness to learn new technologies. 

Preferred qualifications 

• Experience with containerization technologies like Docker. 

• Experience with Azure AI foundry, Google Cloud Platform is a plus 

• Familiarity with CI/CD tools such as GitHub Actions, or AWS CodePipeline. 

• Previous coursework or projects related to DevOps, cloud computing, or machine learning. 

• Nice to have: AWS certifications or training (even in progress). 

Our Values in Action: 

• Embrace the unknown: Be prepared to tackle unprecedented challenges in applying AI to diverse business functions. 

• Partner with purpose: Collaborate closely with employees across all levels to understand and meet their AI-driven needs. 

• Passion for people: Focus on developing AI solutions that empower and uplift our workforce. 

• Collaborate for success: Embrace teamwork, transparency, and integrity as we integrate AI into our corporate culture. 

 

Using the “OCEAN” model which stands for Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism, we’re looking for the following personality traits: 

Openness – The ability to take on new challenges and learn new things. 

Conscientiousness – The ability to work independently and deliver high-quality work. 

Extraversion – The ability to communicate directly with customers and users, and to present your work clearly and effectively to different stakeholders as needed.

Agreeableness – Be kind and thoughtful. We value people who are respectful of others and who are willing to jump in and help where and when needed. 

Neuroticism – Although we try and minimize stress levels, there will be deadlines to meet. Plans can change, so the ability to pivot and adapt to changing priorities will be important. 

 

This internship offers a unique opportunity to work at the forefront of enterprise AI application. Join us in shaping the future of AI-driven business innovation and employee empowerment!