Junior MLOps Engineer

Inchcape Digital Limited; Metro Manila; Hybrid; PHP 600,000 - 1,000,000; Full time

Benefits offered by this job

Learning & Development

Career Growth

Skills Advancement

Flexible Work

Health & Wellbeing

Special Leave

Work Tools

Job summary

Inchcape Digital Limited is seeking a Junior MLOps Engineer to build, deploy, monitor, and optimize enterprise-grade ML solutions within the Data Analytics Platform team. You will design scalable pipelines with Azure Databricks, manage data orchestration, and ensure reliable deployments while collaborating with global stakeholders.

The role offers hybrid or remote work options, learning and development opportunities, and exposure to cutting-edge AI projects in a fast-growing global automotive

Qualifications

• 2–4 years hands-on AI/ML engineering and production model deployment.
• Experience with PySpark, Databricks, MLflow, Azure Data Factory, Docker, GitHub, and CI/CD pipelines.
• A solid understanding of model monitoring, retraining workflows and production troubleshooting.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design, implement, and optimize scalable ML pipelines and workflows using Azure Databricks.
• Manage end-to-end data orchestration with Azure Data Factory, Azure Function Apps, and Logic Apps.
• Maintain GitHub repos, code versioning, and CI/CD pipelines for reliable deployments.
• Deploy, monitor, troubleshoot, and retrain production ML models for performance and accuracy.
• Lead deployment of ML solutions with scalability, reliability and governance in mind.

Skills

PySpark

Databricks

MLflow

Azure Data Factory

Docker

GitHub

CI/CD pipelines

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

Azure Databricks

Azure Data Factory

MLflow

Docker

GitHub

CI/CD

Job description

Are you looking to accelerate your career path in a stimulating, fast-growing business? At Inchcape, we’re pursuing an exciting strategy to evolve our global business and lead our industry’s transformation.

Join Inchcape Digital, part of Inchcape global network. You’ll explore and develop cutting-edge technology and data solutions that are driving our innovation and unique market position. Thrive as part of a highly collaborative and supportive team of diverse and talented colleagues.

We are seeking a talented and driven Junior MLOps Engineer to join Inchcape Digital's Data Analytics Platform team. In this role, you will help build, deploy, monitor, and optimize enterprise-grade machine learning solutions while supporting scalable AI and data initiatives across a global automotive organization.

What you'll do

• Design, implement, and optimize scalable machine learning pipelines and workflows using Azure Databricks.
• Manage end-to-end data orchestration through Azure Data Factory, Azure Function Apps, and Logic Apps.
• Maintain GitHub repositories, code versioning, and CI/CD pipelines, ensuring reliable and efficient deployments.
• Deploy, monitor, troubleshoot, and maintain production ML models, including automated retraining workflows to ensure performance and accuracy.
• Lead production deployment of ML solutions while ensuring scalability, reliability, governance compliance, and operational excellence.
• Partner with stakeholders across the business to deliver ML solutions aligned with business objectives and operational needs.
• Contribute to broader Data Analytics Platform initiatives and cross-functional projects as business requirements evolve.

About you

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 2-4 years of hands‑on experience in AI/ML engineering and production model deployment.
• Strong experience with PySpark, Databricks, MLflow, Azure Data Factory, Docker, GitHub, and CI/CD pipelines.
• Knowledge of model monitoring, retraining workflows, and production troubleshooting.
• Excellent communication, stakeholder management, and documentation skills.
• Azure and Databricks certifications are a plus.

We offer you

• Learning & Development: Access leading learning platforms with tailored pathways for every role, including technical and leadership training and certifications.
• Career Growth: Receive ongoing career support, regular performance reviews, and opportunities for promotion, with access to senior leadership for guidance and mentorship.
• Skills Advancement: Continuously upgrade your expertise through training in the latest technologies and industry advancements.
• Flexible Work: Benefit from hybrid or remote work arrangements, with a remote work bonus to recognise your contribution.
• Health & Wellbeing: Enjoy Health Maintenance Organization HMO coverage with free dependent inclusion and life insurance for added peace of mind.
• Special Leave: Celebrate your birthday with a dedicated day off just for you.
• Work Tools: Get the equipment you need to perform your role effectively.

Opportunity for everyone

At Inchcape, inclusion accelerates our success. We are committed to creating a workplace where everyone feels valued, heard, and empowered to thrive. We foster an inclusive culture that reflects the communities we serve, ensuring opportunities for all.

About us

Our diverse global team of over 16,000 talented colleagues foster an inclusive and collaborative culture, delivering a brilliant experience for our customers and partners. We’re a dynamic and fast‑growing business, driving the transformation of our industry and redefining tomorrow. Find out more visit www.inchcape.com

Inchcape’s Digital Delivery Centres drive innovation, empowering global mobility through advanced technology solutions. Our teams deliver impactful digital systems, ensuring long‑term business success with world‑class operations at scale. Learn more about us here.

Additional information request

Selected candidates will be contacted to initiate our hiring journey. We may request additional information from applicants to better understand your background, qualifications and experience for the role.