เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, SQL, NoSQL, English

ประเภทงาน:

งานประจำ

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Compliance, DevOps, SQL, English

ประเภทงาน:

งานประจำ

• Manage software releases across QA Load Test Stage Production environments.
• Execute and support OTA firmware releases.
• Launch and maintain mobile app releases to App Store and Google Play.
• Work with agile teams to build, test, and maintain CI/CD pipeline components.
• Support product NPI onboarding and participate in early sprint planning.
• Cloud Operations Platform SupportAdminister and troubleshoot Microsoft Azure environments.
• Perform L1.5-L2 support activities including monitoring, deployments, rollbacks, and platform health checks.
• Manage migrations across platforms or service providers.
• Ensure proactive performance monitoring and SLA compliance.
• Maintain system documentation, runbooks, and operational best practices.
• Monitoring, Alerting Incident ManagementCreate and manage monitoring/alerting systems for cloud and connected device platforms.
• Lead and support 24x7 major incident management, including on-call support.
• Own end-to-end incident resolution from ticket creation to closure.
• Implement corrective actions to mitigate operational and security risks.
• Conduct periodic user access/security audits.
• Cross-functional CollaborationWork closely with Engineering, Security, and other teams to evangelize Ops best practices.
• Participate in technical bridge calls and RCA sessions.
• Manage UI views for license consumption and performance analytics.
• Gather usage metrics and report insights to stakeholders.
• Required3-5 years of experience in Microsoft Azure cloud systems support.
• Hands-on experience with Azure DevOps tools and pipelines.
• VMs, Storage, Event Hub, Service Fabric Cluster, AKS.
• IoT Hub, Cosmos DB, SQL Server.
• Databricks, Key Vault, Data Lake.
• Experience in CI/CD tools (Octopus, Bamboo, Terraform, Azure DevOps, Jenkins, GitHub, Ansible).
• Familiarity with IoT concepts: telemetry ingestion, processing, data storage, reporting.
• Knowledge of container orchestration (Kubernetes).
• Ability to script with PowerShell and Python.
• Understanding of SQL vs NoSQL databases and operational maintenance.
• Knowledge of monitoring/logging systems (Log Analytics, Splunk, ELK, Prometheus, Nagios, Zabbix).
• Strong analytical thinking and proactive troubleshooting mindset.
• Excellent communication skills in English (written verbal).
• PreferredMicrosoft Azure Fundamentals certification (AZ-900) or Degree in CS / Information Systems.
• Experience managing mobile app releases (App Store / Play Store).
• Experience with connected device platforms (IoT environments).
• About NTT DATA
• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
• Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
• NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.