Junior MLOps Engineer

Inchcape; Philippines; Hybrid; PHP 420,000 - 660,000; Full time

Benefits offered by this job

Remote work bonus

HMO + life insurance

Birthday leave

Learning & Development access

Job summary

Inchcape Digital is hiring a Junior MLOps Engineer to join the Data Analytics Platform team. You will design and optimize scalable ML pipelines using Azure Databricks, orchestrate data flows with Azure Data Factory, and maintain CI/CD practices for reliable deployments.

You will deploy and monitor production ML models, lead retraining workflows, and collaborate with stakeholders across the business to deliver impactful AI solutions for a global automotive organization.

Qualifications

• 2–4 years hands-on AI/ML engineering and deployment experience.
• Experience with production ML model deployment and monitoring.
• Strong 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 and related services.
• Maintain GitHub repos, code versioning, and CI/CD pipelines for reliable deployments.
• Deploy, monitor, and retrain production ML models to ensure performance and accuracy.
• Lead production deployment of ML solutions with governance and reliability.

Skills

PySpark

Databricks

MLflow

Azure Data Factory

Docker

GitHub

CI/CD

ML Deployment

Education

Bachelor's degree in Computer Science/IT

Tools

Azure Databricks

Azure Function Apps

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.comInchcape’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.