Senior Generative AI Developer
@ Cognizant

Chennai, Tamil Nadu, India
$150,000
On Site
Full Time
Posted 24 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @cognizant.com
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Job Summary

The Senior Generative AI Developer will be instrumental in advancing our machine learning capabilities with AWS Machine Learning and AI&ML concepts. Working in a hybrid model, you will develop and deploy scalable solutions using Docker and Kubernetes, driving innovation and enhancing our technological impact on society.

Responsibilities

  • Develop and implement machine learning models using AWS Machine Learning.
  • Collaborate with cross-functional teams to integrate AI&ML concepts.
  • Utilize Docker and Kubernetes for containerization and orchestration.
  • Apply expertise in Amazon Sagemaker for the ML lifecycle.
  • Oversee Terraform use for reliable and repeatable deployments.
  • Maintain code integrity with Git and support collaborative development.
  • Provide technical guidance and mentorship to junior developers.
  • Conduct thorough testing and validation of machine learning models.
  • Implement ML Ops best practices to optimize processes.
  • Translate business needs into technical requirements through stakeholder collaboration.
  • Stay updated with the latest AI and machine learning trends.
  • Ensure compliance with industry standards and data security protocols.
  • Contribute to solutions that positively impact society.

Qualifications

  • Strong background in ML Ops and AWS Machine Learning.
  • Proficiency in Docker and Kubernetes.
  • Hands-on experience with Amazon Sagemaker.
  • Expertise in Terraform and Git.
  • Deep understanding of AI&ML concepts.
  • Strong problem-solving skills and ability to translate complex requirements.

Key Skills/Competency

  • AWS Machine Learning
  • AI&ML
  • Docker
  • Kubernetes
  • Amazon Sagemaker
  • Terraform
  • Git
  • ML Ops
  • Mentorship
  • Compliance
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How to Get Hired at Cognizant

🎯 Tips for Getting Hired

  • Research Cognizant's culture: Study mission, values, and employee feedback.
  • Customize your resume: Tailor experience to AWS ML and Docker.
  • Highlight technical skills: Emphasize Kubernetes, Sagemaker, and Terraform.
  • Prepare for interviews: Practice ML Ops and problem-solving scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review AWS Machine Learning services.
Practice Docker containerization setup.
Study Kubernetes orchestration basics.
Explore Terraform scripting samples.

Behavioral Questions

Describe a challenging team project.
Explain your mentoring approach.
Discuss problem-solving in technical scenarios.
Share an experience adjusting to change.

Frequently Asked Questions