Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

🔧 Job Opening: MLOps & DevOps Engineer

Location

Immediate Joiners Preferred

Company


About Us:

AI/ML


✅ Key Responsibilities:
  • Design and implement

    CI/CD pipelines

    for ML models and microservices
  • Manage

    end-to-end MLOps workflows

    – from model training, versioning, deployment, to monitoring
  • Automate infrastructure using

    Terraform, CloudFormation

    , or similar tools
  • Integrate ML workflows with

    cloud platforms

    like AWS, Azure, or GCP
  • Implement

    model registry

    , artifact tracking, and monitoring (e.g., MLflow, Weights & Biases)
  • Collaborate with

    Data Scientists, ML Engineers, and DevOps teams

    to ensure scalable and reliable deployments
  • Set up and maintain

    Kubernetes (EKS/AKS/GKE)

    clusters and orchestrate model serving
  • Ensure

    compliance, security, and reliability

    of deployed systems
  • Proactively identify performance bottlenecks and implement optimization


🧩 Required Skills & Experience:
  • 3–5 years

    of experience in

    DevOps and MLOps environments

  • Strong expertise in

    Docker, Kubernetes, Jenkins/GitHub Actions/GitLab CI

  • Hands-on experience with

    ML lifecycle tools

    : MLflow, Kubeflow, SageMaker, or similar
  • Proficient in scripting with

    Python

    ,

    Bash

    , and using

    Linux-based systems

  • Experience with

    infrastructure-as-code

    (Terraform, Ansible, Helm)
  • Working knowledge of

    cloud platforms

    (AWS preferred) and model deployment at scale
  • Familiar with

    observability tools

    like Prometheus, Grafana, or ELK stack


🌟 What We’re Looking For:
  • A

    problem-solver

    who can bridge the gap between data science and operations
  • A

    hands-on contributor

    who can own deployments end-to-end
  • A

    collaborative team player

    who thrives in fast-paced, agile environments
  • Passionate about building

    production-ready ML systems

📬 Apply Now:

Asmadiya Technologies

careers@asmadiya.com


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