Azure Cloud

6 days ago


Mangalore, Karnataka, India Abotts Inc Full time US$ 1,50,000 - US$ 2,00,000 per year

Job Title:
Azure Cloud & AI Engineer

Location:
On-site

Employment Type:
Full-Time

Experience Level:
3+ Years

Position Overview

We are seeking a highly skilled
Azure
Cloud & AI Engineer
to design, implement, and optimize cloud infrastructure while building and deploying scalable AI/ML models. The ideal candidate will have a strong background in
Azure cloud engineering
,
AI/ML development
, and
DevOps automation
, with a passion for solving real-world business problems using modern technologies.

Core Responsibilities

Cloud Engineering & Infrastructure

  • Design, implement, and maintain secure and scalable cloud environments on
    Azure
    .
  • Set up and manage virtual machines, databases, storage, and hybrid/multi-cloud solutions.
  • Automate infrastructure provisioning with
    Terraform, ARM templates, Ansible, PowerShell, or Python
    .
  • Implement
    IAM, encryption, firewalls, and compliance controls
    (HIPAA, GDPR).
  • Monitor and optimize performance, cost, and usage with
    Azure Monitor, Log Analytics, and Cost Management
    .

AI/ML Engineering

  • Build and deploy scalable
    AI/ML models
    for NLP, computer vision, and Generative AI use cases.
  • Preprocess and manage structured/unstructured datasets; develop optimized data pipelines.
  • Implement
    MLOps practices
    for training, deployment, and monitoring using MLflow, Docker, Kubernetes, and cloud platforms (
    Azure, AWS, GCP
    ).
  • Stay updated with cutting-edge AI frameworks and tools (LangChain, RAG, LLMs).

DevOps & Automation

  • Integrate
    CI/CD pipelines
    for cloud and AI workloads.
  • Manage containers and orchestration tools (
    Docker, Kubernetes
    ).
  • Automate deployment, scaling, and system monitoring to ensure high availability.

Collaboration & Mentorship

  • Work closely with cross-functional teams including data scientists, engineers, and product managers to integrate AI solutions into business applications.
  • Mentor junior engineers and contribute to knowledge sharing across the team.

Skills & Qualifications

  • Strong programming in
    Python
    (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
  • Expertise in
    Azure Cloud
    services (VMs, Storage, Networking, IAM, Security).
  • Hands-on experience with
    IaC (Terraform, ARM templates, Ansible)
    .
  • Deep understanding of
    AI/ML concepts
    : supervised/unsupervised learning, deep learning, NLP, GenAI.
  • Proficiency with
    MLOps tools
    (MLflow, Docker, Kubernetes) and
    vector databases
    .
  • Knowledge of compliance standards (HIPAA, GDPR) and cloud security best practices.
  • Strong problem-solving, communication, and stakeholder engagement skills.

How to Apply

Send your resume and a short cover letter to

Or apply online via:

Use the subject line: Azure Cloud & AI Engineer Role



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