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Sr. Developer @ Cognizant

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Cognizant  Sr. Developer

Job Description



Job Summary

We are seeking a highly skilled Sr. Developer with 6 to 10 years of experience in AI and ML technologies(GCP and AWS). The ideal candidate will have expertise in Feature Store MLFlow Jenkins and other cutting-edge tools. This role involves working in a hybrid model focusing on developing and deploying AI solutions using Google Cloud and Kubernetes. The candidate will play a crucial role in advancing our AI capabilities impacting both the company and society.


Responsibilities

  • Develop and implement AI and ML models using Google Vertex AI and Kubeflow to enhance business processes and decision-making.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems ensuring seamless operations.
  • Utilize Feature Store and MLFlow to manage and track machine learning experiments and deployments effectively.
  • Oversee the deployment and scaling of AI models using Kubernetes and Docker ensuring high availability and performance.
  • Automate workflows and data pipelines with Airflow and Jenkins to streamline AI and ML operations.
  • Apply advanced AI and ML concepts to solve complex business challenges driving innovation and efficiency.
  • Leverage Google Cloud-Machine Learning tools to build scalable and robust AI solutions.
  • Implement MLOps practices to ensure continuous integration and delivery of AI models maintaining high-quality standards.
  • Use Terraform and GIT for infrastructure as code and version control ensuring reliable and reproducible deployments.
  • Explore and integrate Generative AI technologies to create innovative solutions that meet business needs.
  • Provide technical guidance and support to junior developers fostering a collaborative and knowledge-sharing environment.
  • Monitor and optimize AI model performance making data-driven improvements to enhance outcomes.
  • Stay updated with the latest AI and ML trends and technologies applying them to improve company offerings.

    • Qualifications

  • Possess a strong understanding of AI and ML concepts with hands-on experience in deploying models on Google Cloud.
  • Demonstrate proficiency in using Kubernetes and Docker for containerization and orchestration.
  • Have experience with MLOps tools like MLFlow and Jenkins for managing machine learning lifecycle.
  • Show expertise in using Terraform and GIT for infrastructure management and version control.
  • Exhibit knowledge of Generative AI and its applications in solving real-world problems.
  • Be skilled in automating workflows with Airflow to improve efficiency and productivity.
  • Understand the principles of Feature Store for managing and serving machine learning features.

    • Certifications Required

    Google Professional Machine Learning Engineer Certified Kubernetes Administrator

    Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Data Platform Engineer
    Employement Type: Full time

    Contact Details:

    Company: Cognizant
    Location(s): Chennai

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    Keyskills:   kubernetes continuous integration orchestration workflow version control machine learning artificial intelligence infrastructure management docker containerization microsoft flow cloud git automation concepts business process gcp jenkins terraform aws ml deployment

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