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    MLops Engineer - Plano, United States - ApTask

    ApTask
    ApTask Plano, United States

    2 weeks ago

    Default job background
    Description
    About Client:
    Client is a company that helps other businesses use technology to improve and grow. They provide services like creating computer programs, managing computer systems, and making sure everything is secure. Client works with different industries like telecommunications, healthcare, banking, and retail to help them use new and exciting technologies like artificial intelligence, cloud computing, and the Internet of Things. These technologies can make businesses more efficient and innovative.
    They have offices and people working all around the world, and their team of experts helps businesses solve their technology challenges. Client also cares about making a positive impact on society and the environment, so they support social causes and work to conserve resources.

    Salary Range: $130K-$140k per annum plus benefits
    Rate Range: $60-$65/hr on contract without benefits

    Job Description:
    • Bachelor's degree or above in Computer Science/Engineering or other related areas.
    • Four or more years of work experience in computer software development related jobs.
    • At least two years are in AI / Client Engineering areas with reasonably good understanding of Data Science and AIML practices/workflows.
    • Strong expertise in RTML model serving arena and/or large scale cloud-based RT framework development.
    • Experience with programming languages such as Python and Java.
    • Experience in large application development in cloud environments - AWS, GCP and On-Prem clusters.
    • Experience in K8s architecture and principle of operations, hands-on skills of deploying large applications in production K8s cluster, configuring K8s properly, and troubleshooting when the application has issues.
    • Good understanding of of RT system stats collection and performance monitoring methods
    • Basic understanding of RT Feature Engineering methodology and practices
    • Understand basic data science concepts and common needs from data scientists.
    • Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders.
    • Experience with cloud infrastructures and MLOps in clouds.
    • Familiar with CI/CD process and common frameworks such as ArgoCD.
    Key Skills :
    • AI/Client, kubernetes, Real Time system stats collection, performance monitoring MLOps in AWS, GCP and CI/CD pipeline
    About ApTask:
    Join ApTask, a global leader in workforce solutions and talent acquisition services, as we shape the future of work. We offer a comprehensive suite of offerings, including staffing and recruitment services, managed services, IT consulting, and project management, providing unparalleled opportunities for professional growth and development. As a member of our dynamic team, you'll have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success for our clients across diverse industries. If you are passionate about excellence, collaboration, and innovation, and aspire to make a meaningful impact in the world of work, come join us at ApTask and be a part of our mission to empower organizations to thrive.

    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.

    Candidate Data Collection Disclaimer:
    At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

    If you have any concerns or queries about your personal information, please feel free to contact our compliance team at .
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