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Gen AI Engineer

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Job Summary

We are seeking a Sr. Developer with 6 to 9 years of experience in ML Ops and Generative AI to join our team. The ideal candidate will work from our office during day shifts and will not be required to travel. This role involves developing and implementing advanced AI solutions to drive innovation and efficiency within our organization.


Responsibilities

  • Develop and implement advanced machine learning models to enhance business processes and decision-making.
  • Oversee the deployment and maintenance of ML Ops pipelines to ensure smooth and efficient operations.
  • Collaborate with cross-functional teams to identify opportunities for AI-driven improvements.
  • Provide technical expertise in Generative AI to create innovative solutions for complex problems.
  • Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
  • Monitor and optimize the performance of AI systems to achieve desired outcomes.
  • Lead the integration of AI solutions into existing systems and workflows.
  • Stay updated with the latest advancements in AI and machine learning technologies.
  • Document and communicate technical processes and solutions to stakeholders.
  • Mentor and guide junior developers in AI and ML Ops best practices.
  • Ensure compliance with data privacy and security regulations in all AI projects.
  • Contribute to the continuous improvement of AI development processes and methodologies.
  • Drive the adoption of AI technologies to enhance the companys competitive edge.

  • Qualifications

  • Possess strong expertise in ML Ops and Generative AI with a proven track record of successful implementations.
  • Have a solid understanding of machine learning algorithms and their practical applications.
  • Demonstrate proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.
  • Exhibit excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Show a commitment to staying current with industry trends and emerging technologies in AI.
  • Hold a degree in Computer Science Engineering or a related field.

  • Certifications Required

    Certified Machine Learning Professional TensorFlow Developer Certificate

    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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