Aaizel helps organizations turn spatial and environmental data into actionable decisions. They implement AI-powered weather prediction, geospatial visualization and analysis, and edge analytics for IoT and smart city use cases. Core technologies include NLP, computer vision, machine learning, and customized AI solutions. The company serves industries such as agriculture, energy, urban planning, and emergency management. The focus is B2B in geospatial and analytics software and services, with integrations to IoT platforms and data ecosystems.
Aaizel helps organizations turn spatial and environmental data into actionable decisions. They implement AI-powered weather prediction, geospatial visualization and analysis, and edge analytics for IoT and smart city use cases. Core technologies include NLP, computer vision, machine learning, and customized AI solutions. The company serves industries such as agriculture, energy, urban planning, and emergency management. The focus is B2B in geospatial and analytics software and services, with integrations to IoT platforms and data ecosystems.
Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, and intelligent embedded systems. We are seeking a
Senior 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:
(i)
Data drift
and
schema validation
(using tools like
Evidently AI
,
Alibi Detect
).
(ii)
Performance metrics
(accuracy, precision, recall).
Experience with
GPU orchestration
and hybrid on-prem + cloud environments.
Nice-to-Have Skills
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 hr@aaizeltech.com or anju@aaizeltech.com
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:
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
.
