6 Monitoring Strategies Jobs

As an Observability Engineer at NTT DATA, you will play a crucial role in ensuring the reliability, availability, and performance of systems and applications. Your responsibilities will include: - Enhancing system reliability by leveraging automation, redundancy, and industry best practices. - Monitoring system performance and health, promptly responding to incidents to minimize downtime. - Conducting root cause analysis of incidents and implementing preventative measures to avoid recurrence. - Collaborating with development teams to design and deploy scalable and reliable services. - Optimizing performance and resource utilization across different systems and services. - Designing, implemen...

Job Purpose An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks Job Responsibilities (JR): 6 8 Areas Actionable (4-6) Design and implement the necessary infrastructure (e.g., compute clusters, storage, networking) for AI applications, including cloud platforms like AWS, Azure, or GCP Design, build, and train generative AI models using techniques like deep learning and neural networks Develop and maintain scalable, efficient, and reliable data pipelines for AI models, ensuring data quality and integrity. Integrate machine learning mo...

Job description: Job Highlights Manage system-generated alerts and cases by performing detailed analysis, root cause identification, and driving timely resolution to enhance asset reliability. Develop, customize, and continuously refine predictive analytics models for critical equipment to enable accurate and effective health monitoring across global plants. Configure and maintain application settings, including PI tags, PI calculations, and related dashboards to ensure seamless data acquisition, visualization, and monitoring. Collaborate with cross-functional teams to gather equipment and process knowledge for enhancing model accuracy and performance. Drive continuous improvement by evaluat...

At NiCE, we challenge our limits and strive to be game changers in everything we do. If you are ambitious, innovative, and always play to win, we have the ultimate career opportunity that will ignite your passion for excellence. We are currently looking for an experienced AI Architect who possesses not only strategic thinking skills but also a hands-on approach to coding. In this role, you will be involved in both proof-of-concept (POC) and production-grade AI projects. Your responsibilities will include mentoring team members, establishing ethical AI practices, and making critical decisions regarding AI deployment strategies. It is essential to have a strong background in deploying AI solut...

As an AI Architect at NiCE, you will be responsible for building scalable AI systems and infrastructure capable of handling large datasets while ensuring performance, reliability, and maintainability. You will lead the development of secure, compliant data and machine learning pipelines to align with data governance and regulatory standards such as GDPR. Your role will involve designing, developing, and implementing AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions. Mentoring and guiding team members on AI technologies, best practices, and system architecture will be a key aspect of your role, fostering ...

Req ID: 327820 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DataRobot Consultant & Deployment Lead to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Duties: Overview U.S. Bank is seeking an experienced and visionary AI Architect to lead the design, deployment, and optimization of DataRobot's AI platform within our Azure cloud environment. This role requires deep technical expertise in AI/ML systems, containerized deployments, and cloud infrastructure, as well as the ability to guide cross-functiona...