About the role
Work Where People Matter
At Tech Mahindra Philippines, we’re more than just a BPO — we’re a Certified Great Place to Work® where your growth and well-being come first. With thriving hubs in Cebu and Manila, we’re helping people like you build meaningful careers while making a real difference for customers around the world.
Why You’ll Love It Here
Growth you can see – promotions and career paths await
Learning that sticks – trainings to sharpen your skills
A workplace that cares – inclusive, supportive, and people-first
Health coverage you can count on
Rewards when you refer friends to join the team
HMO Benefit
Leave Credits
Your Day-to-Day
· Design, build, and deploy AI/ML solutions that integrate with enterprise data products, pipelines, and lakehouse architectures.
· Develop and operationalize machine learning models and AI services for use cases such as predictive analytics, anomaly detection, and automation.
· Design and implement Generative AI solutions using LLMs, including RAG architecture and prompt engineering.
· Collaborate with data engineers to embed AI capabilities into data pipelines and ensure seamless integration with data platforms (e.g., Fabric, Databricks).
· Partner with product owners, architects, and stakeholders to translate business needs into AI-driven solutions and reusable components.
· Enable AI readiness across DL&I data products by standardizing model integration, feature engineering, and inference patterns.
· Ensure AI solutions are production-ready by implementing monitoring, logging, and performance optimization practices.
· Support integration of AI outputs into data products, dashboards, and business processes, ensuring interpretability and usability.
· Work with analytics and reporting teams to translate model outputs into business-facing insights and metrics.
· Contribute to enterprise AI governance by ensuring compliance with Responsible AI principles (fairness, transparency, accountability).
· Document AI models, features, pipelines, and assumptions to support reuse, auditability, and knowledge sharing.
· Participate in Agile delivery practices including backlog refinement, sprint planning, and continuous improvement.
What We’re Looking For
AI & ML Engineering
- Machine Learning model development, deployment, and lifecycle management
- Feature engineering, model training, and evaluation
- Supervised and unsupervised learning techniques
Cloud AI & Data Platforms
- Azure AI Services, Azure ML, and OpenAI
- Microsoft Fabric AI capabilities
- Databricks, MLflow, and Lakehouse architecture
Data Engineering
- Python and SQL development
- Data pipelines, transformation, and integration
- AI integration with analytics and enterprise systems
MLOps & Deployment
- CI/CD for ML models
- Model versioning, monitoring, and optimization
Tools & Delivery
- Azure DevOps and Git
- Agile and collaborative development practices
Soft Skills
- Strong problem-solving and communication skills
- Collaborative and stakeholder-focused
- AI-driven and continuous learning mindset
- Agile and fast-paced environment experience
Domain Knowledge
- Enterprise data platforms & lakehouse architecture
- ServiceNow and enterprise analytics
- Data governance & Responsible AI
- AI integration in enterprise environments
- Large-scale data and performance optimization experience
Work Setup
Location: Makati City, 2 days onsite/week
Shift: Day Shift
Must be amenable for 1 year Project Based Contract, subject to extension/absorption
About Tech Mahindra Philippines
We’re a global provider of IT and business process services, helping industries like telecommunications, healthcare, retail, banking, e-commerce, travel, and logistics. In the Philippines, we’re home to thousands of talented professionals who value growth, diversity, and teamwork.
Y our Next Move
If you’re ready for a role where you can grow, make a difference, and enjoy the ride — we’d love to meet you. Apply today and let’s get started.
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