Kl Mlops engineer – ml platform Jobs – 23 Open Jobs Today

MLOps Engineer – ML Platform
Crayon Data —Cannanore, Kerala
- Full-time
- Computer Science
- Up to 50% travel
- DevOps
ML Engineer
Leegality —Cannanore, Kerala
- Full-time
- Hybrid work
- AWS
- Machine learning
- APIs
- Flexible schedule
ML Engineer I
UST —Thiruvananthapuram, Kerala
- Azure
- Computer Science
- Software troubleshooting
Quick apply
AI/ML ENGINEER
PearlSoft Technologies —Kochi, Kerala
- Computer Science
- Master's degree
- Databases
ML Engineer II
UST —Thiruvananthapuram, Kerala
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
2d
AI Engineer
Tranetech Software Solutions —Kuthiravattom, Calicut, Kerala
- ₹4,50,000 - ₹9,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
- Health insurance
- Paid time off
Quick apply
Lead II - MLOps
UST —Thiruvananthapuram, Kerala
- Full-time
- Computer Science
- Master's degree
- SQL
Quick apply
Lead I - ML Engineering
UST —Thiruvananthapuram, Kerala
- Azure
- Doctoral degree
- Computer Science
Quick apply
AI Solutions Engineer
Cubet Techno Labs —Infopark-Kochi, Kochi, Kerala
- ₹12 - ₹15 a year
- Full-time
- Azure
- Computer Science
- SQL
Quick apply
Specialist I - Data Science - AI
UST —Kochi, Kerala
- Azure
- Master's degree
- AWS
Quick apply
Associate Architect / Architect - Data & AI
QBurst —Thiruvananthapuram, Kerala
- Azure
- Java
- AWS
Lead Data Scientist
Accenture —Kochi, Kerala
- Full-time
- Azure
- System design
- English
AI/ML Engineer 5+ years
Inforizon —Ernakulam District, Kerala
- Remote
- Customer service
- Master's degree
- Databases
- Flexible schedule
Principal Engineer
AOT Technologies —Thiruvananthapuram, Kerala
- Full-time
- Azure
- Computer Science
- DevOps
Senior Technical Lead / Architect
Techversant Infotech —Thiruvananthapuram, Kerala
- Full-time
- Azure
- DevOps
- Java
Big Data Engineer
NOV Inc. —Kochi, Kerala
- Full-time
- Computer Science
- Windows
- SQL
8d
Azure AI Engineer
Adfolks —Kochi, Kerala
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor's degree
Quick apply
Data Architect I - AI ML Architect
UST —Thiruvananthapuram, Kerala
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
Lead II - Software Engineering - Gen AI Lead
UST —Thiruvananthapuram, Kerala
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AWS Data Architect
Adfolks —Kochi, Kerala
- Full-time
- Azure
- SQL
- AWS
Quick apply

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MLOps Engineer – ML Platform

Crayon Data -
Cannanore, Kerala

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Computer Science
Kubernetes
DevOps
Git
Master's degree
Docker
Bachelor's degree
Machine learning
Continuous integration
AI
Jenkins
GitLab
Communication skills

Full job description

Job Description

MLOps Engineer – Saudi Arabia (ML Platform & AI Infrastructure Focus)

Build the backbone of scalable AI — power enterprise ML and GenAI solutions with robust MLOps engineering.

Location: Saudi Arabia – 50% Travel Required

Experience: 4–6+ years in MLOps, DevOps, ML Engineering, or Data Engineering

We are looking for engineering professionals who don’t just manage infrastructure, but enable scalable, secure, and production-ready AI ecosystems that drive enterprise innovation.

Expertise: Strong passion for building reliable ML platforms, automating AI workflows, and enabling seamless collaboration between data science, engineering, and infrastructure teams.

Proactive individuals who take ownership, solve complex technical challenges, and focus on reliability, scalability, governance, and operational excellence.

Role Overview

As an MLOps Engineer – ML Platform, you will design, implement, and operate enterprise-grade ML infrastructure and MLOps pipelines that enable scalable AI and GenAI solutions. You will collaborate with data scientists, data engineers, and infrastructure teams to productionize machine learning workflows, automate deployments, and ensure secure, governed AI operations across the enterprise.

What makes you right for the role?

ML Platform Engineering

Design and maintain scalable ML platform architecture including compute, storage, networking, and security in collaboration with infrastructure teams.

CI/CD & ML Automation

Build and manage CI/CD pipelines for ML workflows including model training, testing, deployment, rollback, and automated retraining processes.

Model Lifecycle Management

Implement and manage model registry, experiment tracking, monitoring, and governance solutions to support enterprise AI operations.

Workflow Orchestration & Scaling

Automate end-to-end data and model workflows including scheduling, batch scoring, real-time inference, and production orchestration.

Governance & Reliability

Ensure compliance with security, regulatory, and governance standards across the ML lifecycle while improving platform reliability and operational efficiency.

Monitoring & Optimization

Troubleshoot ML platform and pipeline issues, optimize performance, and enhance observability and monitoring capabilities.

Cross-Functional Collaboration

Partner closely with data scientists, data engineers, and platform teams to productionize and scale ML and GenAI solutions effectively.

The person you’re looking for

Strong academic background (Bachelor’s or Master’s in Computer Science, Engineering, or related fields).

Hands-on experience in MLOps, DevOps, ML Engineering, or Data Engineering roles with strong exposure to enterprise AI platforms.

Experience working with on-premise or hybrid cloud architectures supporting scalable AI/ML workloads.

Strong expertise in CI/CD tools such as GitLab CI, Jenkins, or similar automation platforms.

Hands-on experience with containerization and orchestration technologies including Docker, Kubernetes, or equivalent platforms.

Good understanding of machine learning workflows and frameworks such as scikit-learn, PyTorch, TensorFlow, or similar technologies.

Experience with ML platforms and tooling such as MLflow, Kubeflow, DataRobot, or similar solutions is an added advantage.

Exposure to banking or other highly regulated industries with strong focus on governance and compliance is preferred.

Familiarity with monitoring and observability stacks such as Prometheus, Grafana, ELK, or similar platforms is a plus.

Strong collaboration, problem-solving, and communication skills with the ability to explain technical trade-offs clearly to stakeholders.

Structured, process-driven mindset with strong focus on scalability, governance, reliability, and operational excellence.

Flexible to travel across Saudi Arabia for stakeholder discussions, workshops, and collaboration engagements (50% travel requirement).

Job Information

Date Opened 05/13/2026
Job Type Full time
Work Experience 4-7 year
Industry Technology
City Chennai
State/Province Tamil Nadu
Country India
Zip/Postal Code 600001

Apply Now

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