Machine Learning Engineer

3 - 8 years

3 - 7 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design and architect large-scale systems on leading cloud platforms: AWS, Azure, and Google Cloud.
    Automate IT operations and the software supply chain with continuous integration, continuous delivery, infrastructure-as-code, and modern release engineering.
    Design for high availability, scalability, elasticity, and enterprise-grade security.

  • Plan release strategies and steer production launches for mission-critical cloud applications.
    Manage production environments for high availability, performance, and latency. Deliver committed SLAs.
    Scale systems sustainably. Continually refine systems for reliability and security.
    Incident response, root cause analysis, remediation and fixes, and regression testing on live production systems.

  • Qualifications and Skills
    Bachelors or Masters degree in Computer Science, Information Technology, or allied streams.
    3+ years of hands-on experience in building virtualized cloud infrastructure and deploying applications to cloud environments: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
    Cloud Foundations: Strong foundations in virtualization, infrastructure-as-code, containers, private, hybrid, and public cloud computing concepts.

  • Programming Foundations: Strong hands-on experience with at least one programming or scripting language such as Python, GoLang, Java, JavaScript, Groovy, Bash, Powershell.
    OS Proficiency: Proficiency in system administration on Linux and Windows.
    CI/CD Pipelines: Hands-on experience in building Continuous
  • Integration and Continuous Deployment pipelines at enterprise scale. Experience deploying microservices and application workloads.
    Networking Competency: TCP/IP stack and protocols, software-defined networking (SDN), DNS, DHCP, Tunneling and VPN, Proxies and NAT,

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