01
MLOps
Required
TRPD-26-05852
MLOps Engineer
Hiring an MLOps Engineer (5–8 years) for a permanent role in Bengaluru to build and operate production-grade ML platforms and pipelines. The focus is on deploying, monitoring, and maintaining ML models reliably using CI/CD, containerization, orchestration, and cloud/DevOps practices, with strong ownership of model lifecycle automation and operational excellence.
Position summary
- Location
- India
- Workplace
- Remote
- Employment
- Full Time
- Experience
- Minimum 5 years and Maximum 8 years
Role overview
Why This Role Matters.
Hiring an MLOps Engineer (5–8 years) for a permanent role in Bengaluru to build and operate production-grade ML platforms and pipelines. The focus is on deploying, monitoring, and maintaining ML models reliably using CI/CD, containerization, orchestration, and cloud/DevOps practices, with strong ownership of model lifecycle automation and operational excellence.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
02
Docker
Required
03
Kubernetes
Required
04
CI/CD
Required
05
Jenkins
Required
06
GitHub Actions
Required
07
GitLab CI
Required
08
AWS
Required
09
Azure
Required
10
GCP
Required
11
Airflow
Required
12
Kubeflow
Required
13
MLflow
Required
14
Terraform
Required
15
Prometheus
Required
16
Grafana
Required
17
Python
Required
18
Git
Required
19
Model Serving
Required
20
Monitoring
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
MLOps (model deployment, monitoring, lifecycle automation)
CI/CD for ML/Software (e.g., Jenkins/GitHub Actions/GitLab CI)
Containerization (Docker)
Orchestration (Kubernetes)
Cloud platforms (AWS or Azure or GCP)
ML pipeline/workflow orchestration (e.g., Airflow/Kubeflow)
Model serving/deployment patterns (REST/gRPC, batch vs real-time)
Monitoring/observability for ML systems (metrics, logging, alerting; model/data drift concepts)
Version control (Git)
Scripting/programming for automation (Python and/or Bash)
Preferred
Nice to Have
Infrastructure as Code (Terraform/CloudFormation)
ML experiment tracking/model registry tools (MLflow)
Feature store concepts/tools (Feast)
Data engineering tooling (Spark)
Security/IAM basics for cloud deployments
Prometheus/Grafana stack
Argo CD/Argo Workflows
SRE practices (SLIs/SLOs, incident response)
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for MLOps Engineer
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