ML Ops Specialist

Job Title:
MLOps Engineer

Company:
Aaizel International Technologies Pvt. Ltd.

Location:
On Site

Experience Required:
3-5 Years

Employment Type:
Full-Time (Immediate Joiner)

About Aaizeltech

Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, and intelligent embedded systems. We are seeking a
MLOps Engineer
to lead the architecture, deployment, automation, and scaling of infrastructure and ML systems across multiple product lines.

Role Overview

This role requires strong expertise and hands-on MLOps experience. You will architect and manage cloud infrastructure, CI/CD systems, Kubernetes clusters, and full ML pipelines—from data ingestion to deployment and drift monitoring.

Key Responsibilities

MLOps Responsibilities:

• Collaborate with data scientists to operationalize ML workflows.
• Build complete ML pipelines with
  Airflow
  ,
  Kubeflow Pipelines
  , or
  Metaflow
  .
• Deploy models using
  KServe
  ,
  Seldon Core
  ,
  BentoML
  ,
  TorchServe
  , or
  TF Serving
  .
• Package models into Docker containers using
  Flask
  or
  FastAPI
  or
  Django
  for APIs.
• Automated dataset versioning & model tracking via
  DVC
  and
  MLflow
  .
• Setup
  model registries
  and ensure
  reproducibility
  and
  audit trails
  .
• Implement model monitoring for:

(i) 
Data drift
and
schema validation
(using tools like
Evidently AI
,
Alibi Detect
).

(ii)
Performance metrics
(accuracy, precision, recall).

(iii)
Infrastructure metrics
(latency, throughput, memory usage).

• Implement
  event-driven retraining workflows
  triggered by drift alerts or data freshness.
• Schedule
  GPU workloads
  on Kubernetes and manage
  resource utilization
  for ML jobs.
• Design and manage secure, scalable infrastructure using
  AWS
  ,
  GCP
  , or
  Azure
  .
• Build and maintain
  CI/CD pipelines
  using
  Jenkins
  ,
  GitLab CI
  ,
  GitHub Actions
  , or
  AWS DevOps
  .
• Write and manage
  Infrastructure as Code
  using
  Terraform
  ,
  Pulumi
  , or
  CloudFormation
  .
• Automated configuration management with
  Ansible
  ,
  Chef
  , or
  SaltStack
  .
• Manage
  Docker containers
  and advanced
  Kubernetes
  resources (Helm, StatefulSets, CRDs, DaemonSets).
• Implement robust monitoring and alerting stacks:
  Prometheus
  ,
  Grafana
  ,
  CloudWatch
  ,
  Datadog
  ,
  ELK
  , or
  Loki
  .

Must-Have Skills

• Advanced expertise in
  Linux administration
  , networking, and shell scripting.
• Strong knowledge of
  Docker
  ,
  Kubernetes
  , and container security.
• Hands-on experience with
  IaC tools
  like Terraform and configuration management like Ansible.
• Proficient in
  cloud-native services
  : IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager.
• Mastery of
  CI/CD tools
  (e.g., Jenkins, GitLab, GitHub Actions).
• Familiarity with
  SaaS architecture
  , distributed systems, and multi-env deployments.
• Proficiency in
  Python
  for scripting and ML-related deployments.
• Experience integrating
  monitoring
  ,
  alerting
  , and
  incident management
  workflows.
• Strong understanding of
  DevSecOps
  , security scans (e.g.,
  Trivy
  ,
  SonarQube
  ,
  Snyk
  ) and
  secrets management

tools (
Vault
,
SOPS
).

• Experience with
  GPU orchestration
  and hybrid on-prem + cloud environments.

Nice-to-Have Skills

• Knowledge of
  GitOps
  workflows (e.g., ArgoCD, FluxCD).
• Experience with
  Vertex AI
  ,
  SageMaker Pipelines
  , or
  Triton Inference Server
  .
• Familiarity with
  Knative
  ,
  Cloud Run
  , or
  serverless ML deployments
  .
• Exposure to
  cost estimation
  ,
  rightsizing
  , and
  usage-based autoscaling
  .
• Understanding of
  ISO 27001
  ,
  SOC2
  , or
  GDPR-compliant ML deployments
  .
• Knowledge of
  RBAC for Kubernetes and ML pipelines
  .

Who You'll Work With

• AI/ML Engineers, Backend Developers, Frontend Developers, QA Team
• Product Owners, Project Managers, and external Government or Enterprise Clients

How to Apply

If you are passionate about embedded systems and excited to work on next-generation technologies, we would love to hear from you. Please send your resume and a cover letter outlining your relevant experience
to or