MLOPs Engineer (m/f/x)
Actively Reviewing the ApplicationsDHL Supply Chain
India
Contract
On-site
Posted 3 weeks ago
•
Apply by June 9, 2026
Job Description
Be An Essential Part Of Everyday Life
Position: MLOPs Engineer (m/f/x)
Contract Type: Full time- Permanent
Location: India
DHL Supply chain are seeking an experienced MLOps Engineer to join our dynamic team at DHL Supply Chain. In this pivotal role, you will ensure the successful productization and deployment of machine learning algorithms developed by data scientists at scale. You will guide the transition from exploratory data analytics to structured ML pipelines, leveraging cutting-edge technologies like Kubeflow and Kubernetes. Your expertise will be crucial in modernizing our data science platform and fostering strong relationships with stakeholders across the organization.
Your Key Accountabilities Include:
If you have a proven track record of achievement to match the requirements for this role and you are looking for your next career move, simply apply online ensuring that a full up to date CV is attached with your application.
We will ensure that all our resourcing activities are fair, transparent and consistent across the Globe. We want to ensure that the candidate experience is of the highest professional standard.
The Company is committed to providing equality of opportunity for all employees. Furthermore, we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organisation.
Position: MLOPs Engineer (m/f/x)
Contract Type: Full time- Permanent
Location: India
DHL Supply chain are seeking an experienced MLOps Engineer to join our dynamic team at DHL Supply Chain. In this pivotal role, you will ensure the successful productization and deployment of machine learning algorithms developed by data scientists at scale. You will guide the transition from exploratory data analytics to structured ML pipelines, leveraging cutting-edge technologies like Kubeflow and Kubernetes. Your expertise will be crucial in modernizing our data science platform and fostering strong relationships with stakeholders across the organization.
Your Key Accountabilities Include:
- Supporting data scientists in transitioning ML models to production using Kubeflow Pipelines and Apigee.
- Refactoring Python code to enhance maintainability and scalability in production environments.
- Conducting performance testing and implementing logging and monitoring best practices.
- Applying best practices for reusable and observable Kubeflow components.
- Collaborating with data engineers and AI engineers to deploy models into production.
- Developing tools and checklists to automate unit testing and security validation for ML workflows.
- Experience in Python programming and ML libraries (e.g., scikit-learn, pandas, PyTorch, TensorFlow).
- Familiarity with CI/CD tools and automation frameworks (e.g., GitHub Actions, ArgoCD, Ansible, Terraform).
- Working knowledge of Kubernetes across platforms (on-prem, Azure, GCP) and Docker image building.
- Experience with performance testing tools (e.g., Locust) and monitoring solutions (e.g., OpenSearch).
- Strong problem-solving skills and a proactive approach to debugging and troubleshooting.
- A degree (or equivalent) in Data Science, Machine Learning, Computer Science, or related fields.
If you have a proven track record of achievement to match the requirements for this role and you are looking for your next career move, simply apply online ensuring that a full up to date CV is attached with your application.
We will ensure that all our resourcing activities are fair, transparent and consistent across the Globe. We want to ensure that the candidate experience is of the highest professional standard.
The Company is committed to providing equality of opportunity for all employees. Furthermore, we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organisation.
Required Skills
Machine Learning
Troubleshooting
Automation Frameworks
Automation
Monitoring
Python
Docker
Kubernetes
Terraform
Ansible
GitHub
Pandas
TensorFlow
PyTorch
Scikit-learn
Azure
GitHub Actions
Kubeflow
Data Science
CI/CD
Testing
Unit testing
Debugging
Validation
Performance Testing
Maintainability
Locust
ArgoCD
Logging
OpenSearch
Testing tools
APIGEE
CD tools
Computer Science
SciKit
Performance Testing tools
Monitoring solutions
Quick Tip
Customize your resume and cover letter to highlight relevant skills for this position to increase your chances of getting hired.
Related Similar Jobs
View All
Snowflake Senior Analyst
Spaulding Ridge
India
Full-Time
MySQL
SQL Server
Snowflake
+18
Senior Java Software Engineer
RekNomics
India
Full-Time
₹12–16 LPA
Testing
Software engineering
Java
Full Stack Engineer
National Payments Corporation Of India (NPCI)
India
Full-Time
₹3–6 LPA
Git
MySQL
Cassandra
+9
QA-Quality Assurance Engineer - Specialist-VG-W4-CS0014
EY
India
Full-Time
Communication
Sales
Engineering
+87
Senior Mobile App Developer
Paraacrypto
India
Full-Time
Blockchain
Share
Quick Apply
Upload your resume to apply for this position