Job Summary
This role involves leveraging expertise in Machine Learning Azure Moogsoft SRE Data Science Incident Management ServiceNow ITOM and Python to drive technical solutions and ensure operational excellence. The candidate will work in a hybrid model during day shifts contributing to impactful projects that align with organizational goals.
Responsibilities
- Develop and implement Machine Learning models to solve complex business problems and enhance decision-making processes.
- Utilize Azure cloud services to design scalable and efficient solutions for data storage processing and analytics.
- Manage and optimize Moogsoft platforms to ensure proactive incident detection and resolution.
- Apply Site Reliability Engineering (SRE) principles to improve system reliability scalability and performance.
- Perform advanced data analysis using Data Science techniques to uncover actionable insights and trends.
- Lead incident management efforts to minimize downtime and ensure seamless service delivery.
- Configure and maintain ServiceNow ITOM modules to streamline IT operations and enhance service management.
- Write efficient and maintainable Python scripts for automation data processing and system integration tasks.
- Collaborate with cross-functional teams to ensure alignment of technical solutions with business objectives.
- Provide technical guidance and mentorship to team members to foster skill development and knowledge sharing.
- Conduct regular system performance evaluations and implement improvements to optimize operational efficiency.
- Ensure compliance with organizational standards and best practices in all technical implementations.
- Contribute to the companys mission by delivering innovative solutions that positively impact society. Qualifications
- Possess strong expertise in Machine Learning with hands-on experience in developing and deploying models.
- Demonstrate proficiency in Azure cloud services including data storage analytics and application deployment.
- Have practical experience in managing Moogsoft platforms for incident detection and resolution.
- Show a deep understanding of SRE principles and their application in improving system reliability.
- Exhibit advanced knowledge in Data Science techniques for data analysis and insight generation.
- Display a proven track record in incident management and minimizing service disruptions.
- Be skilled in configuring and maintaining ServiceNow ITOM modules for IT operations management.
- Have strong programming skills in Python with experience in automation and system integration.
- Showcase excellent problem-solving abilities and a proactive approach to technical challenges.
- Demonstrate effective communication skills to collaborate with diverse teams and stakeholders.
- Possess a detail-oriented mindset with a focus on delivering high-quality technical solutions.
- Have a commitment to continuous learning and staying updated with emerging technologies.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
