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Sr. Developer

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Job Summary

As a Sr. Developer you will be instrumental in advancing our bioinformatics projects through cutting-edge AI and ML technologies. Your expertise in MLFlow Airflow and Google Vertex AI will drive innovative solutions. Collaborate with cross-functional teams to enhance machine learning operations and contribute to impactful research in bioinformatics.


Responsibilities

  • Develop and implement machine learning models using MLFlow and Airflow to streamline bioinformatics workflows.
  • Collaborate with research teams to integrate generative AI solutions into bioinformatics applications.
  • Utilize Google Vertex AI to enhance the scalability and efficiency of machine learning models.
  • Apply ML Ops practices to ensure robust deployment and monitoring of AI models.
  • Leverage Docker and Kubernetes for containerization and orchestration of machine learning applications.
  • Utilize Terraform for infrastructure automation and management in cloud environments.
  • Employ GIT for version control and collaboration on bioinformatics projects.
  • Apply AI and ML concepts to solve complex problems in the bioinformatics domain.
  • Conduct research and development to advance the application of artificial intelligence in bioinformatics.
  • Optimize machine learning algorithms for performance and accuracy in bioinformatics data analysis.
  • Collaborate with cross-functional teams to ensure seamless integration of AI solutions into existing systems.
  • Provide technical guidance and support to junior developers in AI and ML projects.
  • Contribute to the companys mission by advancing bioinformatics research and improving healthcare outcomes. Qualifications
  • Possess strong expertise in MLFlow Airflow and Google Vertex AI for developing scalable AI solutions.
  • Demonstrate proficiency in ML Ops practices for effective deployment and monitoring of models.
  • Have experience with Docker and Kubernetes for efficient containerization and orchestration.
  • Show capability in using Terraform for cloud infrastructure management.
  • Exhibit proficiency in GIT for collaborative development and version control.
  • Have a solid understanding of AI and ML concepts applicable to bioinformatics.
  • Possess domain expertise in bioinformatics to drive impactful research and solutions.

    • Certifications Required

    Google Cloud Professional Machine Learning Engineer Certified Kubernetes Administrator

    The Cognizant community:
    We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

    • Cognizant is a global community with more than 300,000+ associates around the world.
    • We don’t just dream of a better way – we make it happen.
    • We take care of our people, clients, company, communities and climate by doing what’s right.
    • We foster an innovative environment where you can build the career path that’s right for you.

    About us:
    Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

    Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

    If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

    Disclaimer:
    Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable 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.

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