109 AI & Emerging Technologies jobs in the Philippines
Artificial Intelligence
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Job Purpose:
To lead the development and deployment of Artificial Intelligence (AI) and Computer Vision (CV) solutions for optimizing container terminal operations. This role will drive the digital transformation initiatives in port and terminal operations. he will design, implement and support the intelligent automation solutions that extract and process data from physical documents, container labels, gate passes, and other operational artifacts to streamline workflows and improve efficiency.
Key Responsibilities:
- Develop and deploy Optical Character Recognition (OCR) based solutions to digitize and automate data extraction from shipping documents, container labels, customs forms, and handwritten logs.
- Integrate OCR pipelines with terminal operating systems (TOS), ERP platforms, and automation tools (e.g., UiPath, Power Automate).
- Apply image preprocessing techniques to enhance OCR accuracy in challenging environments (e.g., outdoor lighting, low-quality scans).
- Build and maintain computer vision models for document classification, layout analysis, and real-time video/image processing from port surveillance systems.
- Collaborate with operations team, Engineering and IT teams to identify automation opportunities and deliver scalable solutions.
- Conduct testing and validation of OCR models across various document types and formats used in port operations.
- Monitor performance and continuously improve OCR accuracy and processing speed.
- Document solutions and provide training/support to end-users and stakeholders.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience in OCR and computer vision development, preferably in logistics or industrial environments.
- Strong proficiency in Python and libraries such as OpenCV, PyTesseract, EasyOCR.
- Familiarity with cloud-based OCR services (Google Vision API, AWS Textract, Azure Cognitive Services).
- Experience with automation platforms (UiPath, Power Automate, or custom Python-based workflows).
- Understanding of port and terminal operations is a strong advantage.
- Proven track record in deploying AI and computer vision systems in industrial or logistics environments.
- Knowledge of NLP for post-OCR text normalization and validation.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities
- Team player with a hands-on, practical mindset
- Ability to lead cross-functional projects.
Artificial Intelligence Lead
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Position Title: Artificial Intelligence Lead
About Advanced Energy
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
Responsibilities:
- Develop and own the AI product roadmap, strategy, and prioritization as it relates to the organization.
- Lead AI Projects: Oversee the design, development, and deployment of AI-based solutions using Azure and Azure Open AI and/ or related technologies.
- Provide in-depth technical knowledge and expertise in AI, machine learning, and relevant technologies.
- Work closely with other departments to understand their needs and translate into detailed technical project objectives through end-to-end proof of value initiatives.
- Adapt the product backlog to changing business needs, ensuring alignment with shifting priorities.
- Engage with stakeholders, including senior executives and end users, to understand their AI product needs.
- Stay updated with the latest advancements in AI and implement innovative solutions to enhance business processes. Experience in an Engineering and Manufacturing-related implementation is a plus.
- Mentor and guide junior team members, fostering a culture of learning and growth. Also ensuring they apply best practices and advanced functionalities to maximize the capabilities of their applications.
- Manage project timelines, resources, and deliverables to ensure successful project completion.
- Maintain comprehensive documentation of AI models, solutions, and project progress.
- Implement an AI Center of Excellence and establish best practices in deploying AI-based solutions.
- Ensure all AI products comply with relevant regulations and industry standards.
Qualifications:
- BS Information Technology graduate
- A minimum of 3 years of experience working with AI-related technologies
- Experience in agile project management roles within the AI and analytics scope, with familiarity with tools like Jira.
- Experience working with senior business stakeholders and strong AI storytelling skills to create a compelling vision.
- Track record of leading AI projects from conception to deployment, particularly in engineering and manufacturing contexts.
- Certifications in AI-related technologies.
- Familiarity with various AI platforms and tools
- Ability to adapt to changing requirements and priorities, and to get things done while overcoming challenges.
- Hands-on experience in AI techniques, including machine learning, natural language processing, and managing AI dashboards.
- Working experience with Cloud AI Platforms like Azure, Google Cloud, or AWS is preferable.
- Proficiency in programming languages such as Python, and related frameworks.
- Familiarity with low code no code technology and the different ways to connect with different data sources that will be consumed by the AI-based application
- Strong knowledge in prompt engineering.
- Strong knowledge in different data sources such as structured, non-structured, and retrieval augmented generation.
- Good appreciation of IP protection, security and data privacy.
- Communication: Strong verbal and written communication skills to effectively convey technical concepts to non-technical stakeholders.
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.
We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No also known as the Data Privacy Act of 2012.
AI Engineer
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Do you have a deep understanding of LLMs and embedding models? Can you confidently communicate with clients and foreign counterparts?
If your answer is yes, then
WE WANT YOU
We are looking for an AI Engineer who'll be at the forefront of designing and deploying AI-powered solutions that improve both our internal operations and client-facing services.
As An AI Engineer, Your Duties And Responsibilities Include
- Architect, deploy, and maintain scalable vector databases using platforms like Pinecone, Weaviate, Milvus, or ChromaDB.
- Design and implement efficient data ingestion pipelines from diverse sources, including emails, PDFs, SharePoint, and Slack.
- Embed internal knowledge from documents using transformer-based models.
- Develop and optimize chunking, embedding, indexing, and retrieval strategies to ensure peak RAG (Retrieval-Augmented Generation) performance.
- Build and deploy autonomous AI agents using frameworks such as LangChain, CrewAI, AutoGen, or AgentOps to automate document analysis and summarization, contract summarization, procurement tracking, and invoicing workflows.
- Fine-tune agents to seamlessly integrate with internal APIs and tools.
- Implement robust security and permission models to control agent access and actions across different departments.
- Integrate AI solutions with existing internal systems via REST, GraphQL, and Webhooks.
- Build comprehensive monitoring and logging systems to track agent performance and behavior.
- Lead the selection, fine-tuning, and optimization of both hosted and open-source models.
- Partner with stakeholders to align AI initiatives with core business objectives.
- Develop documentation and training materials for internal users.
- Stay on top of emerging AI tools and research applicable to vector-based retrieval and autonomous agents.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Engineering, or a related field.
- 2-4+ years of hands-on experience in AI, ML engineering, or backend software engineering.
- Strong proficiency in Python and AI agent frameworks like LangChain, CrewAI, or similar.
- Hands-on experience with vector databases such as Pinecone, Weaviate, or ChromaDB.
- Deep understanding of LLMs and embedding models (OpenAI, Hugging Face models).
- Experience with REST APIs and data integration.
- Familiarity with Docker, cloud platforms (Azure, GCP, AWS), and CI/CD pipelines.
- Proven ability to develop enterprise-grade RAG pipelines.
- Familiarity with OAuth2 authentication and secure API token management.
- Exposure to SaaS platforms like Pabbly, Xero, or Employment Hero.
- Understanding of document structures in legal, financial, or engineering domains.
- Excellent communication skills, both written and verbal, with the ability to confidently communicate with clients and foreign counterparts.
- Strong organizational skills and the ability to manage multiple priorities in a fast-paced, deadline-driven environment.
- Proactive, punctual, and a strong team player with a high attention to detail.
- Willing to be assigned to Subic, Clark, Tarlac, Bataan, or Iba, Zambales.
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AI Application Engineer
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At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.
Job Description
The AI Application Engineer is responsible for researching and developing new AI technologies, models, and systems that support the company's strategic goals. This role requires a deep understanding of machine learning, natural language processing, computer vision, and other AI disciplines. The engineer will work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to develop AI-powered solutions and integrate them into various products and services.
Duties And Responsibilities
- Conduct research and development on Generative AI
- Develop AI-driven applications to enhance productivity
- Enhance customer experience through AI solutions
- Apply AI technologies to optimize telecom network operations
- Collaborate with business units to tailor AI solutions
- Stay at the forefront of AI advancements
- Prototype and test AI models for real-world applications
- Ensure scalability and performance of AI models
- Collaborate on AI projects with external partners
- Contribute to AI democratization and internal knowledge sharing
KPIs
- R&D Output and Innovation: The contribution to AI innovation by the number of prototypes developed, and proof-of-concepts (POCs) completed.
- Successful Deployment of AI Solutions: The number of AI-powered solutions, particularly Generative AI and productivity-enhancing applications, successfully deployed in production environments.
- Collaboration & Knowledge Sharing: Participation in cross-functional teams and contribution to knowledge sharing initiatives, such as internal AI toolkits, training sessions, or the AI democratization program.
- Impact on Customer Experience: The performance and customer satisfaction improvements driven by AI applications.
- Productivity Improvements: The percentage increase in organizational productivity or efficiency resulting from AI-driven automations and process optimizations.
Top 3-5 Deliverables
- Development and Deployment of a Generative AI-based Solutions
- AI-powered Productivity Tools for Internal Operations
- Customer Experience Enhancement via AI
- AI-based Telecom Network Optimization Solutions
- AI Innovation and Research Contributions
Hiring Requirements
- Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related field.
- Experience: Minimum of 3-5 years of hands-on experience in AI/ML, with a focus on developing models and solutions for productivity, customer experience, and/or telecom networks.
- Technical Expertise: Strong proficiency in AI tools, frameworks, and techniques, with proven experience in applying AI to real-world problems in a business or research context.
- Preferred Background: Experience in the telecommunications industry or related fields where AI is applied to network optimization and customer-facing solutions is a strong advantage.
Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.
AI Engineer Intern
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About GoTyme
GoTyme is a joint venture between the Gokongwei Group, one of the biggest conglomerates in the Philippines, and the Singapore-headquartered digital banking group Tyme. This venture combines the trusted Gokongwei brand, customer base, and distribution ecosystem with Tyme's globally proven digital banking technology and hands-on experience building South Africa's leading digital bank, TymeBank, one of the fastest-growing digital banks in the world today.
At GoTyme, we have embarked on a journey to democratize financial services and bring next-level banking to the Philippines. We seek individuals who share our belief that the game is worth changing, to join our growing team of GoTymers as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom.
Why this role exists
Join a GenAI pod that designs and ships lightweight micro-apps, copilots, and decision helpers for internal high-impact teams. You'll help move features from
prototype → production
quickly, improving decisions and workflows with modern LLMs and
agentic workflows
.
What you'll do
Onboarding & Foundations
- Shadow pod rituals; set up repos, dev env, and access.
- Learn house patterns for prompts, evals, and secure coding in a regulated context.
Prompt Engineering & Experiments
- Craft, test, and iterate prompts for models such as GPT-5, Claude 4, and Gemini.
- Log results; identify failure modes (bias, hallucination, latency); propose mitigations and patterns for the wiki.
Rapid Prototyping
- Build chatbots, unstructured data analyzers, extractors, agentic workflows—in
Python
with modern agent orchestration tools. - Spin up n8n automations with integrations to platforms like Databricks and Confluence.
Monitoring & Iteration
- Instrument basic telemetry (latency, cost, success rate) and user feedback capture with tools such as MLFlow and Databricks Evals.
- Tune prompts/graphs; swap models when metrics regress.
Collaboration & Knowledge-Share
- Pair with different departments such as Ops/Product/Risk to translate pain-points into scoped tasks.
- Run short demos to demonstrate developed features; write concise docs/readmes non-engineers can follow.
Must-have
- Final-year
students in Computer Science/Engineering/Data Science (or similar) or recent graduate. - Python
proficiency; comfort with notebooks and scripting. - Familiar with one GenAI SDK (
OpenAI, Anthropic, Google, Hugging Face
, etc.). - Basic web/API skills (
HTTP/REST, JSON
, simple React or vanilla JS). - Git
fluency and light data wrangling (
Pandas
or
SQL
). - Evidence of initiative (side projects, coursework, hackathons).
- Clear written and spoken
English
.
Nice-to-have (great to learn here if not yet)
- AI Orchestration Framework
(stateful agents, tool orchestration) such as LangGraph and CrewAI. - MCP
(Model Context Protocol): building/consuming MCP tools/servers. - RAG basics (chunking, embeddings), vector DBs (
FAISS/Chroma/Pinecone
). - Cloud exposure (
AWS/GCP/Azure
), containers, CI basics. - Front-end polish (React, Tailwind) for quick internal UIs.
- Fintech/regulatory awareness helpful (secure coding, data privacy).
What you'll learn (fast)
- Designing
agentic workflows
that ship: tool choice, recovery paths, evals. - Wiring
MCP
tools to give models safe, auditable access to enterprise resources. - Measuring and improving real-world
quality/cost/latency
under production constraints. - Secure coding in a regulated environment (secrets, PII handling, logging hygiene).
- Communicating technical trade-offs to non-technical stakeholders.
Generative AI
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Roles & Responsibilities:
Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate knowledge sharing and mentorship within the team to foster a culture of continuous learning.
Analyze project requirements and translate them into technical specifications to guide development efforts.
Monitor and evaluate the performance of applications, making recommendations for improvements.
Professional & Technical Skills:
Required Skill: Expert proficiency in Generative AI.
Additional Good To Have Skills: Experience with Java Enterprise Edition, Python (Programming Language), DevOps.
Strong understanding of machine learning principles and algorithms.
Experience in developing and deploying scalable applications in cloud environments.
Proficiency in API design and development, ensuring robust and secure integrations.
Familiarity with front-end technologies and frameworks to create user-friendly interfaces.
Additional Information:
The candidate should have minimum 3 years of experience in Generative AI.
This position is based at our Cebu office.
Job Type: Full-time
Pay: Php40, Php60,000.00 per month
Benefits:
- Paid training
Work Location: In person
Artificial Intelligence Engineer
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Greetings From LanceSoft
Location: Makati City
Onsite Setup
6 Month Contract Role
Role: AI Engineer
Skills required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 5 years experience in data and AI including chatbot experience management.
• Has done solutioning and solution architecture assessment, design and execution
• Strong understanding of user interface (UI) user experience (UX) principles and best practices.
• Excellent programming skills Python, R, SQL; reporting tools MS Power BI, Tableau, other MS Office; and preferably with experience in developing mobile/web app
• Exposure to machine learning models for integration with AI programs; Familiarity with statistical modeling techniques
• Familiarity with Gen AI other AI technologies, preferably with MS Copilot Studio, other LLMs
• Excellent communication and storytelling skills, with the ability to craft compelling narratives, value proposition and engage the target audience.
• Skilled on research, business and technical analysis, business value propositions build & presentations
• Experience in branding and communications, with a keen eye for visual design and messaging.
• Familiarity with conversational design principles and chatbot/virtual assistant technologies.
• Strong project management skills, with the ability to prioritize tasks, meet deadlines, and manage multiple stakeholders; Strong understanding of agile methodologies, such as Scrum or Kanban, and their application in AI product development.
• Creative mindset with the ability to think outside the box and innovate.
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Data Annotator
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- Annotate data sets based on detailed guidelines and instructions
- Review and correct annotations for quality assurance
- Flag ambiguous or problematic data and provide feedback to improve annotation workflows
- Collaborate with team leads to ensure labeling consistency across projects
- Meet daily productivity and accuracy goals
- Participate in training sessions to stay aligned with project standards and updates.
Job Type: Full-time
Work Location: In person
Computer Vision
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Company Description
EviSmart is not just any company; we are the world's leading AI-powered dental workflow automation and dental CAD design outsourcing company With the trust of labs and dentists in over 26 countries, our mission is to revolutionize dental care—making it smarter, faster, and better for everyone. We are passionately reimagining dentistry by seamlessly connecting dental workflows—dentists, lab technicians, and manufacturers—with cutting-edge automation and integration.
Summary:
We are on the lookout for an enthusiastic and skilled Computer Vision / AI Engineer with a robust expertise in deep learning, computer vision, and 3D vision techniques. If you have hands-on experience in building and deploying models for segmentation, object detection, and 3D perception using Python and PyTorch, we want to hear from you
Key Responsibilities:
- Design, develop, and deploy innovative AI models for both 2D and 3D computer vision applications.
- Implement and optimize cutting-edge algorithms for object detection, semantic/instance segmentation, and 3D reconstruction/understanding.
- Conduct exciting research and experimentation to enhance accuracy, robustness, and real-time performance.
- Collaborate with dynamic cross-functional teams to integrate our AI solutions into production systems.
- Maintain and extend our datasets, preprocessing pipelines, and training workflows to ensure top-notch performance.
Requirements:
- Bachelor's or Master's degree in Computer Science, AI, or a related field (PhD is a plus).
- Proven experience in developing computer vision and deep learning models using Python and PyTorch.
- A solid background in segmentation, object detection, and associated evaluation metrics.
- Experience with 3D computer vision techniques (e.g., point clouds, depth estimation, stereo vision, 3D object detection).
- Strong understanding of neural network architectures, training techniques, and optimization strategies.
- Familiarity with GPU acceleration and model deployment pipelines is a big plus
- Be part of a global leader revolutionizing the dental industry with AI.
- Work with a talented, diverse, and innovative team solving real-world healthcare challenges.
- Opportunity to push the boundaries of computer vision and AI in a high-impact industry.
- Competitive compensation, growth opportunities, and a culture that celebrates innovation.
Full-Stack Developer (AI Agency) + 100 Remote w/ PH Benefits
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Full-Stack Developer (
100% Remote Work)
How you'll make an impact:
As our
Full-Stack Developer for a fast-growing AI agency
, you'll design, build, and deploy AI-powered sales automation systems for client projects. These solutions may include intelligent web applications, APIs, and voice agents that can engage in outbound calls, qualify leads, schedule appointments, log call data, and manage entire sales pipelines.
You'll work directly with the founder to transform complex project requirements into robust, production-ready systems — whether through custom full-stack development or using modern no-code/low-code tools like , , and ElevenLabs. Your work will span from building custom CRM dashboards and AI orchestration backends to creating conversational AI flows, integrating voice APIs, and automating workflows that connect seamlessly with CRMs, Google Sheets, and other business systems.
Role Overview:
We're looking for a resourceful, tech-savvy builder who thrives at the intersection of traditional software engineering and modern AI automation. You should be comfortable designing and developing end-to-end applications, integrating APIs, and orchestrating AI tools into smooth, scalable systems. Whether writing code or leveraging automation platforms, you'll be the technical engine powering our clients' sales success.
Core Responsibilities
Full-Stack Application Development
- Build responsive web applications using modern frameworks (React, , or Angular)
- Develop robust backend APIs and microservices , Python, or similar)
- Design and implement database schemas for sales data, call logs, and user management
- Create intuitive dashboards for call analytics, lead management, and system monitoring
AI Integration & Voice Agent Development
- Integrate AI voice platforms , ElevenLabs, OpenAI APIs) into custom applications
- Build conversational AI workflows for cold calling, lead qualification, and appointment scheduling
- Develop custom middleware to connect AI agents with business logic and data systems
- Implement real-time call monitoring and AI agent performance optimization
Systems Automation & API Integration
- Connect AI agents with CRMs, scheduling apps, and data storage tools
- Build custom integrations with CRMs, scheduling platforms ), and communication tools
- Develop RESTful APIs and webhooks for seamless third-party connectivity
- Automate repetitive sales and follow-up processes
- Integrate Google Workspace tools (Sheets, Docs, Gmail, Calendar) into workflows
Required Qualifications
- 5+ years of full-stack web development experience
with modern frameworks and technologies
- 2+ years working with AI/ML APIs
and implementing AI features in production applications
- 6+ months of hands-on experience with conversational AI
or voice agent platforms
- Experience with AI/ML tools:
OpenAI APIs, voice synthesis platforms, or similar AI services
- API integration expertise:
REST APIs, webhooks, and third-party service integration
- Strong problem-solving skills
and ability to architect scalable solutions
- Excellent English communication
for client interaction and technical documentation
Preferred Qualifications
- Experience with sales automation
or CRM system development
- Background in AI/ML model training
or fine-tuning
- Previous startup or agency experience
with rapid development cycles
- Knowledge of RAG (Retrieval-Augmented Generation)
implementations