ALops MLops

7 - 12 years

25 - 35 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title: AIOps / MLOps Engineer (LLMOps Focus)

Experience:

Job Summary

AIOps / MLOps Engineer

Key Responsibilities

  • Design and implement

    end-to-end MLOps/LLMOps pipelines

    for training, deployment, monitoring, and retraining of ML and LLM models
  • Build and manage

    LLM-based applications

    using

    LangChain and LangGraph

  • Implement

    observability, tracing, and evaluation

    for LLM workflows using

    Langfuse

  • Develop CI/CD pipelines for ML and LLM models using modern DevOps practices
  • Monitor model performance, data drift, hallucinations, and inference quality
  • Implement AIOps use cases such as anomaly detection, predictive alerts, and automated root cause analysis
  • Optimize inference latency, scalability, and infrastructure cost
  • Collaborate with cross-functional teams to productionize AI/ML solutions
  • Ensure governance, security, and compliance of AI systems

Technical Skills Required

  • 6+ years of overall experience in

    AIOps / MLOps / LLMOps

  • Strong hands-on experience in

    Python

  • Experience with

    LangChain, LangGraph, and Langfuse

    (mandatory)
  • Experience in building and deploying

    LLM-based applications

    (OpenAI, Azure OpenAI, Anthropic, or similar)
  • ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • MLOps tools: MLflow, Kubeflow, Airflow
  • Strong knowledge of

    Docker, Kubernetes

    , and container orchestration
  • Cloud platforms:

    AWS / Azure / GCP

  • CI/CD tools: Jenkins, GitHub Actions, GitLab CI
  • Monitoring & observability: Prometheus, Grafana, ELK, OpenTelemetry
  • Data & streaming tools: Kafka, Spark (good to have)

Preferred / Nice to Have

  • Experience with

    RAG pipelines

    , vector databases (Pinecone, FAISS, Weaviate, Chroma)
  • Knowledge of prompt engineering, prompt versioning, and evaluation strategies
  • Experience with IT operations data (logs, metrics, traces) for AIOps use cases
  • Exposure to security and compliance for GenAI systems

Soft Skills

  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management
  • Ability to work independently in a fast-paced environment

Education

  • Bachelors or Master’s degree in Computer Science, Engineering, or related field

Why Join Aziro

  • Work on cutting-edge

    GenAI, LLMOps, and AIOps

    initiatives
  • Opportunity to build scalable, production-grade AI platforms
  • Collaborative work culture with hybrid flexibility

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