Azure AI Engineer

vCustomer Philippines, Inc.; Philippines; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

HMO Benefit

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Referral rewards

Job summary

Tech Mahindra Philippines is hiring for an AI/ML Engineer role focusing on building and deploying AI/ML solutions across enterprise data platforms. You will design generative AI implementations with LLMs, integrate AI capabilities into data pipelines, and collaborate with product owners and data teams.

The position is a 1-year project-based contract with a day shift, located in Makati City with 2 days onsite per week. Applicants should be ready to work in a fast-paced, Agile environment.

Qualifications

• Design, build, and deploy AI/ML solutions that integrate with enterprise data products.
• Design and implement Generative AI solutions using LLMs, including RAG architecture and prompt engineering.
• CI/CD for ML models, model versioning, monitoring and optimization.

Responsibilities

• Machine Learning model development, deployment, and lifecycle management.
• Feature engineering, model training, and evaluation.
• Supervised and unsupervised learning techniques.

Job description

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.

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.

Your 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.