83 Artificial Intelligence jobs in Manila

About the Opportunity:

The
Artificial Intelligence Engineer
will join the pioneering team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).

Duties and Responsibilities:

• Design, implement, and deploy machine learning algorithms.
• Manage the machine learning algorithm lifecycle.
• Coordinate data collection and annotation efforts.
• Work with real-time data and content coming from various data sources.
• Manage machine learning data pipelines.
• Design tests for machine learning algorithm effectiveness and performance monitoring.
• Design tools and interfaces for interactive machine learning and teaching.
• Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:

• Graduate degree in Computer Science with a strong background in machine learning required.
• Strong problem-solving abilities, solid background in algorithms and data structures required.
• Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
• Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
• Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
• Experience with building and deploying API's with Docker and Kubernetes required.
• Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
• Experience with Elastic Search, Lucene a plus but not required.
• Experience with ranking algorithms a plus but not required.
• Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.

Are you an AI/ML enthusiast eager to build and innovate at the intersection of software engineering, machine learning, and agentic AI tooling? We're looking for talented individuals to contribute across the technology stack – from front-end user interfaces to back-end services, ML pipelines, and the integration of autonomous agents using state-of-the-art AI frameworks.

Our Business Automation Professionals company is part of a dynamic group with head offices in NSW, Australia, and a thriving team in Pasig, Manila, Philippines. To supercharge our efficiency and productivity, we're rapidly expanding our Artificial Intelligence division. We already have team members in both Australia and the Philippines, and we're excited to open up 10 new positions for Min-Senior Level Artificial Intelligence Engineers to join our journey

This is a full-time role, based in our Pasig office, working Australian business hours.

We need versatile and driven individuals focused on building agentic AI systems – AI agents that can plan, reason, act autonomously, and deliver immense value across various domains. Whether your strength lies in the front-end, back-end, or full stack, we want to hear from you

• Design, develop, and maintain scalable applications that incorporate AI/ML and agentic systems.
• Build and deploy machine learning models and pipelines into cloud-based, production-ready environments.
• Develop APIs, backend systems, and/or front-end interfaces that enable seamless interaction with autonomous agents and AI systems.
• Integrate AI agents (LLMs, tool-using agents, planning agents) using frameworks like LangChain, CrewAI, or custom-built agentic architectures.
• Collaborate closely with product managers and UX designers to deliver seamless AI-driven applications.
• Implement robust data handling, storage, and visualization layers to support agentic workflows.
• Contribute to code reviews, architecture discussions, and knowledge sharing across the engineering team.
• Continuously monitor, evaluate, and improve system performance and user experience.

• Bachelor's Degree or higher in computer science, software engineering, information technology, data science, or similar fields.
• Minimum of 1 years of professional experience in front-end, back-end, or full stack software development.
• Strong experience with Python (FastAPI, Django, Flask, etc.) for back-end roles, and/or proficiency in frontend frameworks (React, , Vue, etc.) for front-end roles.
• Solid understanding of machine learning concepts and experience integrating ML models into applications.
• Familiarity with agentic AI frameworks (LangChain, AutoGPT, CrewAI) or demonstrated interest in agentic system design.
• Experience working with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure).
• Knowledge of data structures, algorithms, and scalable system design.

We believe in rewarding our talent. Here's what we offer:

• Work-Life Balance: Enjoy Australian business hours, giving you your evenings back.
• Competitive Salary: Earn PHP 55,000 - PHP 100,000 per month, depending on your experience and expertise.
• Joining Bonus: PHP 30,000 after completing 1 year of service (T&Cs Apply).
• Loyalty Bonus: PHP 60,000 after 4 years of service (T&Cs Apply).
• Performance Bonuses: Earn additional bonuses based on your contributions.
• Comprehensive Benefits: Quality HMO for you and your family.
• Paid Leave: Celebrate your special day with a paid Birthday Leave (T&Cs Apply).
• Career Growth: Extensive training and potential opportunities for advanced training in Sydney, Australia, for team leaders.
• Referral Program: Earn extra by referring top talent to our growing team.

Imagine a world where banking is not just a transaction but a transformative experience. Welcome to
Axos Business Center
We're on a mission to redefine the financial landscape with innovation, creativity, and customer-centric solutions at the core of everything we do.
#Banking Evolved.

Ready to dive into a new chapter in your career journey and make your mark this year? We need visionary minds like yours Join our team and become part of a dynamic force that's reshaping how people interact with their finances.

Your next big opportunity is just a click away

We are seeking a motivated
AI Engineer
to join our newly formed AI Center of Excellence. This role is pivotal in driving the adoption and implementation of artificial intelligence across Axos. The ideal candidate will translate complex business needs into scalable, production-grade AI powered solutions.

Key Responsibilities:

• Collaborate with business stakeholders to understand their challenges and translate requirements into technical specifications for AI-driven solutions.
• Build and test prototypes rapidly to validate new ideas and demonstrate feasibility to stakeholders.
• Deliver scalable, secure, and production-grade AI applications on cloud platforms.
• Writing clean, scalable, and documented code.
• Work independently to manage projects from initial review to final delivery, ensuring alignment with CoE standards.
• Stay current with the latest advancements in AI/ML and advocate for the adoption of new technologies and techniques.

Required Qualifications:

• 3+ years of experience in software engineering with strong proficiency in languages like Python.
• Familiarity with RESTful APIs, JSON, and system integration patterns.
• Knowledge of modern authorization mechanisms, such as JWTs
• Familiarity with git or Azure DevOps for version control
• Experience with Large Language Models (LLMs) and generative AI applications.
• The ability to translate business requirements into technical solutions

Preferred Qualifications:

• Experience in the financial services or banking industry.
• Experience with cloud-native AI services (e.g., Azure AI Foundry or Google Vertex AI)
• Experience with AI/LLM-powered applications, developer tools, or observability platforms (e.g. Langchain framework)
• A "get stuff done" attitude—comfortable shipping fast and iterating based on user feedback
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.

Company Description

Since 1998, Redmen Fire Protection Management has been a leading provider of comprehensive fire protection services in NSW, serving Sydney, Newcastle, Central Coast, and neighboring regions. We specialize in large-scale fire prevention, detection, and extinguishing systems, as well as the supply of portable fire equipment. Our services include support for fire safety products, council certification, compliance, equipment training, and Annual Fire Safety Statements (AFSS) for businesses. Redmen is committed to safety and cost-effective solutions, with certified engineers offering on-site maintenance and services through our fully-equipped mobile fleet.

Role Description

This is a full-time on-site role located in Pasig for an Artificial Intelligence Engineer. The AI Engineer will be responsible for developing, implementing, and maintaining AI and machine learning models to enhance fire protection solutions. Key tasks include data analysis, algorithm development, model training, and performance optimization. The role may also involve collaborating with cross-functional teams to integrate AI solutions into existing systems and ensure compliance with safety standards.

Qualifications

• Proficiency in machine learning, deep learning, and data analysis
• Experience in developing and implementing AI algorithms and models
• Strong programming skills in languages such as Python, R, or Java
• Knowledge of AI frameworks and tools like TensorFlow, PyTorch, or Keras
• Excellent problem-solving and analytical skills
• Ability to work independently and on-site in Pasig
• Relevant experience in the fire protection or safety industry is a plus
• Bachelor's or Master's degree in Computer Science, Engineering, or related field

We are looking for a Mid-Level AI Engineer to develop and deploy advanced AI solutions leveraging AI Agentic systems, Large Language Models (LLMs), deep neural networks, NLP, and Human-in-the-Loop (HITL) methodologies.

The role involves building AI agents with reasoning and autonomy, fine-tuning LLMs for enterprise use, designing deep learning architectures, and integrating NLP capabilities for real-world applications. You will also ensure human oversight is incorporated at key stages of the AI lifecycle to improve accuracy, safety, and ethical decision-making.

Key Responsibilities

• Design, develop, deploy and integrate complex AI Agents on enterprise level platforms.

• Develop AI agents with autonomous reasoning and decision-making abilities using frameworks like LangChain, Google ADK, LangGraph.

• Implement Human-in-the-Loop (HITL) systems where human feedback improves model performance, accuracy, and reliability.

• Develop voice agents using products like VAPI

• Fine-tune and deploy Large Language Models (LLMs) (e.g., AbacusAI, OPENAI, Gemini, Claude, Deepseek) for specific enterprise or product needs.

• Build and optimize deep neural networks for classification, recommendation, and predictive analytics tasks.

• Develop AI pipelines for data preprocessing, model training, and deployment using MLOps practices.

• Ensure AI solutions are scalable, ethical, and explainable through human-in-the-loop feedback and model monitoring.

• Collaborate with cross-functional teams to integrate AI into applications via APIs or microservices.

• Contribute to code reviews, architecture discussions, and knowledge sharing across the AI engineering team.

• Stay updated on cutting-edge research in AI agents, reinforcement learning, etc.

• Deploy and manage AI workloads on cloud platforms such as:

• Azure: Azure Machine Learning, Cognitive Services, AKS, Azure AI Foundry

• GCP: Vertex AI, Cloud Functions

Required Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, or related field.

• 1–3 years of experience in AI/ML engineering, cloud deployment.

• Strong backend experience with Python (FastAPI, Django, Flask, etc.) and proficiency in frontend frameworks (React, , Vue, etc.).

• Solid understanding of machine learning concepts and integration of ML models into applications.

• Familiarity with agentic AI frameworks (LangChain, LangGraph, Google ADK) or demonstrated interest in agentic system design.

• Experience working as a Prompt Engineering

• Experience working with RESTful APIs, microservices, and cloud platforms (Google Vertex AI and Google Cloud).

• Knowledge of data structures, algorithms, and scalable system design.

• Passion for AI, autonomous agents, and building innovative products.

Bonus Skills (Not Required but Great to Have)

• Exposure to agentic AI tools (LangChain, Google ADK, VAPI, Vertex AI, etc.).

• Experience working with vector databases (Pinecone, Weaviate, FAISS).

• Understanding of prompt engineering or LLM orchestration.

• Workflow Orchestration: Tools like LangGraph, Google Cloud Run, or OpenAI Function Calling for complex AI workflows.

What We Offer

• Competitive salary and benefits based on experience level.

• Opportunities to work across multiple industries.

• Access to cutting-edge AI and Microsoft Cloud technologies.

• Professional development & Microsoft certifications.

• Leadership and career growth opportunities.

Ready to take the next step in your AI journey? Join us and help build the future of intelligent agents.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Function: Consulting Position: Senior Manager – 3
Department: Technology consulting, D&A Title: Associate Director - AI & Data
Full time position
Educational qualification: Undergraduate / Post Graduate (preferred)
EY GDS Philippines is looking for a dynamic, visionary and highly motivated Associate Director to lead our growing AI & Data team. In this role, you will build and lead a team of experts to deliver cutting-edge AI & Data solutions that transform our customer's business and accelerate their growth. You will be responsible for shaping the practice's direction, building client relationships, and ensuring the successful implementation of complex AI and data programs. If you are a strategic thinker with a passion for AI & Data, this is the perfect opportunity to lead and innovate at the forefront of the industry.

Role Description:
This leadership role has multiple dimensions and is a combination of the following:

• Lead and significantly scale up the AI & Data practice of GDS Philippines
• Lead and manage end-to-end AI & Data projects for clients, including problem definition, data acquisition, model development, validation, deployment and monitoring
• Work with client and internal teams to solution/architect complex /large transformative deals in technology
• Own and anchor key accounts in the region and grow the GDS involvement in large numbers for GDS Consulting.
• Demonstrate thought leadership by active participation in AI & Data forums locally and even globally
• Represent GDS AI & Data team to various stakeholders in the country (e.g. community, educational partners, etc.)
• Collaborate with client facing and internal teams to prepare Point of Views, Position Papers

Additionally,

• Drive skilling programs in current team, including training programs, certifications & POCs.
• Coaching and Mentoring – Coaches Managers, Senior consultants, etc. within structured leadership training programs.
• Should be responsible for grooming next generation leaders, including women leaders
• Budget and Planning - Responsible for preparing budgetary outlay and its management during the budget cycle

Key Skills:

• Demonstrate strong consulting experience, in-depth business knowledge in Data Engineering, AI and Automation areas of the business
• Ability to sell and deliver large scale consulting engagements with distributed delivery mindset.
• At least 12 years of experience in data engineering, analytics, or artificial intelligence related modelling in the industry
• A university degree or Master's degree in statistics, mathematics, computer science, engineering, or a related field
• Proficiency in Python, R, SQL, and other data analysis tools and platforms
• High expertise in next generation technologies such as cloud, big data, AI/ML, etc.
• Strong knowledge of analytical modelling required for fields such as logistics & distribution, inventory management, stock policy, optimization, catalogue health etc.
• Experience in architecting and working on end-to-end analytics project lifecycle, including data acquisition, model development, validation, deployment and monitoring
• Proven leadership skills, having led medium to large scale data teams and practices
• Ability to manage clients and stakeholders effectively and build strong relationships
• Excellent presentation and stakeholder management skills

EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At OnePuhunan (CreditAccess Philippines), we believe data is more than just numbers, it's the key to transforming lives and empowering communities. We're looking for a Data Science Officer who's passionate about using data, machine learning, and innovation to solve real-world challenges.

Why Join Us?

• Be part of a purpose-driven organization that impacts thousands of Filipino families

• Work on real business problems where your models and insights drive immediate results

• Collaborate with a dynamic and forward-thinking team that values innovation, agility, and growth

• Enjoy a culture that encourages continuous learning, creativity, and career development

What You'll Do

• Rapidly prototype, test, and deploy machine learning models that solve business challenges

• Clean, process, and optimize data for actionable insights and operational improvements

• Collaborate with stakeholders to design, refine, and validate models that deliver business impact

• Stay hands-on with SQL, Python, R, and other tools to ensure model accuracy and performance

• Build and scale advanced machine learning and artificial intelligence models to support business growth

• Develop interactive dashboards and data visualization tools for decision-making and performance tracking

• Design and implement AI solutions such as natural language processing, recommendation systems, and predictive analytics to enhance business operations

• Explore emerging AI technologies (e.g., generative AI, computer vision) and assess their application to financial inclusion

• Lead experimentation and model performance monitoring to ensure continuous improvement and reliability

What We're Looking For

• At least 5 years of experience in data science, machine learning, or advanced analytics

• Strong command of SQL, Python, and statistical modeling

• Background in Mathematics, Statistics, Economics, Computer Science, or related fields

• Analytical mindset, strong problem-solving skills, and the ability to communicate insights effectively

• A proactive team player who thrives in a fast-paced, impact-driven environment

Location

Head Office – Ortigas Center, Pasig City

Perks & Growth

• Work where data meets purpose, your contributions go beyond dashboards; they change lives

• Exposure to advanced analytics, big data tools, and innovation projects

• Opportunity to grow your career into leadership and product ownership roles

If you're ready to bring data to life and make an impact, apply now and be part of OnePuhunan's mission to empower communities through financial inclusion.

Who We Are:

At Kayana, we're shaping the future of technology by unlocking opportunities and driving progress at an accelerated pace. We push boundaries, expand horizons, and build on our legacy—supported by some of the country's most esteemed conglomerates and powered by the synergies of the MVP Group.

Our mission is clear: to create abundant opportunities and pave the way for generational progress for Filipinos. Harnessing the power of data and technology, we are leading the charge in crafting a new world where individuals and businesses are seamlessly connected to a digital universe, enabling them to do more and be more.

We're turning the impossible into possible. Sa Káyana, kaya na.

Job Summary:

The Data Science Associate will design, develop, and deploy machine learning models, generate actionable insights, and integrate external datasets (e.g., PSA, DOH, DOE) to strengthen analytics capabilities. This role is central to advancing Kayana's MLOps practices, ensuring models are scalable, reliable, and ethically applied.

The role also involves exploring emerging technologies such as Generative AI and LLMOps, building prototypes, and contributing to innovation initiatives. The associate may also mentor interns under Kayana's academic partnership programs.

Key Responsibilities:

• Model Development & Deployment - Build, train, and deploy predictive and generative ML models into production. Monitor, retrain, and optimize models to ensure fairness, scalability, and performance.

• Analytics & Insights – Extract and communicate insights from internal, public, and third-party datasets to support decision-making and product development.

• Data Enrichment – Acquire, integrate, and validate external data sources to improve model accuracy and analytical depth.

• MLOps & Automation – Implement best practices for versioning, monitoring, and retraining models. Contribute to strengthening Kayana's MLOps ecosystem.

• Innovation & Research – Explore and evaluate emerging tools, frameworks, and techniques in AI/ML, Generative AI, and MLOps. Deliver prototypes and proof-of-concepts for testing and adoption.

• Collaboration & Mentorship – Work closely with data engineers, product managers, and domain experts to deliver scalable solutions. Mentor interns and junior associates to build future talent pipelines.

Qualifications:

• Proven experience in developing and deploying ML models (e.g., classification, regression, clustering, forecasting)

• Strong programming skills in Python, with expertise in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face.

• Familiarity with MLOps tools and practices (MLflow, Feast, CI/CD, model monitoring).

• Solid foundation in data engineering concepts, SQL, and cloud platforms (AWS, Databricks, Spark preferred).

• Experience integrating public or third-party datasets into analytical workflows.

• Understanding of ethical AI, model explainability, and bias detection.

• Strong analytical thinking, problem-solving, and communication skills.

Education:

• Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. Master's degree or equivalent experience in data science, machine learning, or AI is an advantage.

Preferred Skills:

• Strong programming in Python, PySpark, and SQL, with hands-on expertise in Databricks.

• Proficiency with BI tools such as Power BI, Metabase, or Superset for visualization and reporting.

• Experience in data warehouse modeling and analytics engineering practices.

• Knowledge of data lake architectures for large-scale data management.

• Proficiency with ML frameworks such as scikit-learn, LightGBM, XGBoost, CatBoost, TensorFlow, PyTorch, Hugging Face.

• Exposure to Generative AI frameworks (LangChain, LlamaIndex, vector databases)

• Hands-on experience with MLOps practices and tools (MLflow, Feast, CI/CD pipelines, monitoring)

• Familiarity with DataOps/orchestration tools (Airflow, Prefect, Dagster)

• Understanding of Medallion architecture (Bronze/Silver/Gold layers) and Feature Stores.

• Strong data storytelling, dashboarding, and visualization capabilities.

• Understanding of cloud platforms, especially AWS (SageMaker, S3, Redshift), will be an advantage.

• Understanding of big data computing (Spark clusters, distributed systems) and GPU acceleration for deep learning and Generative AI.

Data Science Engineer – NLP & LLMs

Full Time | Remote Setup

Are you passionate about building cutting-edge AI solutions? Do you have a strong foundation in Natural Language Processing (NLP), large language models (LLMs), and production-ready machine learning systems? Join our dynamic team of innovators and contribute to real-world projects that leverage the power of AI at scale.

• Research, design, and implement advanced NLP algorithms and core ML concepts.
• Develop and deploy deep learning models using PyTorch, TensorFlow, or Keras.
• Conduct rigorous experiments to evaluate model performance, optimize accuracy, and improve system efficiency.
• Apply prompt engineering techniques using Hugging Face and other state-of-the-art tools.
• Build and maintain scalable ML services using FastAPI and Kubernetes.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for LLM-based applications.

• Strong programming skills in Python.
• Solid experience with PyTorch, TensorFlow, and hands-on model tuning.
• Deep understanding of NLP fundamentals: text preprocessing, feature engineering, tokenization, and information retrieval.
• Working knowledge of LangChain, orchestration layers, and vector databases.
• Experience building pipelines with both locally hosted and externally hosted Large Language Models (LLMs).
• Proficient in scaling ML applications to production environments using containerized services.
• Familiarity with Computer Vision techniques and Frame-Per-Second (FPS) optimization is a plus.

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• Experience with MLOps practices and versioning tools.
• Demonstrated success in delivering high-performing ML solutions in real-world use cases.

• Be part of a high-impact AI team working on state-of-the-art LLMs and NLP systems.
• Collaborate with passionate experts in machine learning, software engineering, and product innovation.
• Work in a fast-paced, agile environment that supports growth and experimentation.
• Enjoy a culture that values curiosity, technical excellence, and continuous learning.