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    Job · 18977372

    PUNE · FULLTIME

    Technical Expert

    VOLKSWAGEN GROUP DIGITAL SOLUTIONS PRIVATE LIMITED logo

    VOLKSWAGEN GROUP DIGITAL SOLUTIONS PRIVATE LIMITED

    Pune · onsite · Posted 28d ago

    Sourced fromNaukri
    Undisclosed6–10 yrsfulltimePune

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Job Summary
    Technical Expert
    Skills
    • AI-ML
    • Python
    • ML/NLP frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
    • Cloud Platforms(AWS, Azure or GCP)
    • Monitoring/observability tools (Prometheus, Grafana, ELK)
    Experience
    • 6-10 years of progressive work experience in IT
    • Hands-on experience in AI/ML engineering, plus experience in SRE, DevOps, or production operations.
    • Strong programming skills in Python (plus Go/Java is a bonus).
    • Experience with ML/NLP frameworks (PyTorch, TensorFlow, Hugging Face, etc.).
    • Experience with distributed systems, APIs, and microservices.
    • Hands-on experience with monitoring/observability tools (Prometheus, Grafana, ELK).
    • Familiarity with cloud platforms (AWS, Azure, or GCP).
    • Experience building AI copilots or autonomous agents for IT operations (AIOps).
    • Knowledge of LLMs, retrieval-augmented generation (RAG), and embeddings.
    • Experience with event-driven architectures and streaming platforms (Kafka).
    • Familiarity with runbook automation and infrastructure-as-code tools.
    • Background in high-scale production environments.
    Responsibilities
    • AI-Driven Toil Elimination - Build AI agents and models to automate alert triage, deduplication, and prioritization.
    • AI-Driven Toil Elimination - Develop intelligent ticket classification, routing, and auto-resolution systems.
    • AI-Driven Toil Elimination - Design NLP-based systems to interpret logs, runbooks, and incident history.
    • AI-Driven Toil Elimination - Implement AI-powered root cause analysis and anomaly detection.
    • AI-Driven Toil Elimination - Create self-healing systems that automatically execute remediation actions.
    • SRE for AI Systems - Ensure high reliability and availability of automation systems handling production incidents.
    • SRE for AI Systems - Define SLIs/SLOs specifically for automated resolution systems (e.g., auto-resolve rate, false positives).
    • SRE for AI Systems - Design safe automation with guardrails, fallbacks, and human-in-the-loop controls.
    • SRE for AI Systems - Implement robust incident response pipelines integrating AI decision-making.
    • SRE for AI Systems - Conduct post-incident reviews focusing on further automation opportunities.
    • Operational Intelligence Platform - Build unified observability pipelines (logs, metrics, traces) for AI consumption.
    • Operational Intelligence Platform - Develop knowledge graphs or embeddings from historical incidents and runbooks.
    • Operational Intelligence Platform - Integrate AI systems with ITSM tools (ServiceNow, Jira, PagerDuty, incident.io etc.).
    • Operational Intelligence Platform - Enable continuous learning systems that improve from past incidents.

    Sourced from naukri

    Section · 02

    Skills

    AutomationDevopsGrafanait operationsitsmAIOpsApache KafkaDistributed Systemscloud platformsapisIncident Responsegoogle cloud platformamazon web servicesclassificationAutomation systemsitsm toolsEmbeddingsAnomaly DetectionJira AtlassiancloudJavaMicrosoft AzureArtificial Intelligence

    Technical Expert · waiting for your command