Artificial Intelligence Engineer

• Artificial Intelligence Engineer jobs in Manila

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Posted 1 day ago

Job Description

Greetings From LanceSoft

Onsite Setup

6 Month Contract Role

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.

Location: Taguig, National Capital Region

Salary: ₱ - ₱

Employer: Y Socium - Teams Done Differently

Posted 1 day ago

Job Description

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.

Artificial Intelligence Engineer

Posted today

Job Description

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.

Artificial Intelligence Engineer

Posted today

Job Description

Company Description

Redmen Fire Protection Management is a leading provider of comprehensive fire protection services in NSW, with on-site maintenance and services through a 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 develop, implement, and maintain AI and ML models to enhance fire protection solutions. Key tasks include data analysis, algorithm development, model training, and performance optimization. Collaborate 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

Artificial Intelligence Engineer

Pasig City, National Capital Region ₱ - ₱ Y Offshore Outsource Operations, Inc.

Posted today

Job Description

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.
• Fine-tune and deploy Large Language Models (LLMs) 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:

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.
• 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.

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Data Science Officer

Pasig City, National Capital Region ₱ - ₱ Y CreditAccess Philippines Financing Company, Inc

Posted today

Job Description

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

• 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.

Data Science Associate

Posted today

Job Description

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.

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 proofs-of-concept 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.

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Location

Data Science Engineer

Posted today

Job Description

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.

Key Responsibilities

• 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.

Your Expertise

• 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.

Preferred Qualifications

• 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.

Why Join Us?

• 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.

Data Science Consultant

Posted 1 day ago

Job Description

COMPANY PROFILE: A global professional services company that provides a broad range of services and solutions in strategy, consulting, digital, technology, and operations.

Position: Data Science Consultant

Company Industry: Information Technology / Consulting Services

Work Location: Taguig

Work Schedule: Monday to Friday

Salary: Php 60,000-80,000 gross

Work Set Up: Hybrid

JOB REQUIREMENTS

• Minimum of 2 years\' experience in Data Science or Machine Learning
• Proficient in Python and data analysis libraries (e.g., pandas, NumPy, scikit-learn)
• Experience implementing ML algorithms and data munging techniques
• Skilled in data visualization tools such as Tableau or Power BI.
• Strong analytical, problem-solving, and communication skills

JOB RESPONSIBILITIES:

• Define business problems and translate them into machine learning tasks
• Analyze and interpret complex datasets using ML techniques
• Develop predictive models to support business decisions
• Present insights and recommendations to stakeholders
• Collaborate with cross-functional teams to align data strategies with business goals

RECRUITMENT PROCESS (ONLINE)

• HR Interview
• Technical Assessment
• Job Offer

Job Types: Full-time, Permanent

• Company events
• Health insurance
• Life insurance
• Opportunities for promotion
• Promotion to permanent employee

Data Science and AI Engineer

Makati City, National Capital Region ₱ - ₱ Y Training and Marketing Professionals Inc.

Posted today

Job Description

Training and Marketing Professionals Inc.(TMPI) is looking for (1) Data Science and AI Engineer

• Hybrid work set-up (Rockwell, Makati - 2-3x a week)
• With competitive salary

Overview:

The role Data Science and AI Engineer will be responsible for accelerating various initiatives that will enhance Global Clinical Supply business operations and colleague productivity across the organization.

The roles and responsibilities are a combination of analytics and development that will give the opportunity to use many skills across a diverse set of projects.

SKILLS:

• Proven experience manipulating and analyzing structured and unstructured data.
• Familiarity with the supply chain and logistics domain
• Experienced in Python or R and RShiny applications
• Experience in Snowflake or similar SQL DB platforms
• Experience in Microsoft Power Automate and Copilot,
• Extensive knowledge of prompt engineering and LLM parameter optimization
• Ability to think creatively and participate in exploratory and innovative projects that may not be well defined at first.
• Contribute to business analysis activities to help define requirements and expectations, as well as success criteria.
• Understanding of how these applications will scale and what future support is necessary

QUALIFICATIONS:

• Bachelor\'s degree or higher in a computer science, data science or equivalent
• Knowledge and experience working in a GMP/GCP environment.
• Adaptable to non-standard work schedule or environment requirements.

JOB DESCRIPTION:

• Data Integration: Utilize Snowflake\'s capabilities to integrate diverse datasets from digital supply chain, financial, logistics, and medical collections. Ensure data is clean, structured, and ready for analysis.
• Retrospective Analysis: Conduct thorough analyses to uncover patterns, trends, and insights that can inform strategic decisions. Use statistical methods and machine learning models to extract valuable information.
• Intelligent Document Query Systems: Design AI agents using enterprise LLMs like ChatGPT and Claude to facilitate efficient document search and retrieval. Implement natural language processing (NLP) techniques to understand and respond to complex queries.
• Automated Report Generation: Create systems that automatically compile and generate reports based on predefined criteria and real-time data analysis. Ensure these tools are user-friendly and customizable to meet various business needs.
• Cloud Integration: Explore opportunities to integrate AWS technologies for enhanced data processing, storage, and machine learning capabilities. Utilize AWS services like S3, Lambda, and SageMaker to streamline workflows and improve scalability.
• Engineering Support: Develop automated workflows to reduce manual tasks across the organization. Implement solutions that integrate seamlessly with existing systems and improve operational efficiency.
• Productivity Enhancement: Focus on creating tools and systems that help colleagues gain deeper insights from business content, including emails. Use AI to filter, categorize, and prioritize information effectively

HOW TO APPLY?

Please submit your updated resume via email: and

Email Subject Format: Data Science and AI Engineer Applicant: Last Name, First Name

Job Type: Fixed term

Contract length: 12 months

• Company events
• Work from home

Education:

• Bachelor\'s (Required)

Experience:

• Snowflake or similar SQL DB: 1 year (Required)
• Data Science: 1 year (Required)
• AI Engineer: 1 year (Required)
• Manipulating and Analyzing Data: 1 year (Required)
• Microsoft Power Automate and Copilot: 1 year (Required)
• Pharmaceutical: 1 year (Preferred)
• Python or R and R Shiny: 1 year (Required)
• GMP/GCP environment: 1 year (Preferred)

Willingness to travel:

• 75% (Required)

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