84 AI Projects jobs in the Philippines

Your Personal AI is seeking Filipino native speakers to join our Voice Recording department for exciting AI voice projects. As a Filipino native speaker, you will play a crucial role in enhancing the voice recognition capabilities of our AI technology.

Responsibilities:

• Record high-quality voice samples in Filipino for AI training purposes.

• Collaborate with the AI development team to improve voice recognition accuracy.

• Provide feedback on the performance of the AI technology.

If you are enthusiastic about contributing to cutting-edge AI projects and have a passion for language and technology, we would love to hear from you!

About the Work

Are you an experienced AI Development Lead seeking a new and exciting career opportunity with a work-at-home lifestyle? This is an excellent opportunity to join a leading organization. I connect top talent with top companies, and this role is a perfect match for individuals passionate about advancing their career, gaining international experience, delighting clients, and enjoying the benefits of a work-at-home lifestyle.

Qualifications and Background:

• Minimum of 5 years of proven experience in related projects or AI Development Lead in the tech industry or a tech startup environment.
• Strong technical background with the ability to understand and communicate complex technical concepts.
• In-depth understanding of software development lifecycle (SDLC) and project management methodologies (Agile, Scrum, Waterfall, etc.).
• Excellent organizational, multitasking, and time-management skills.
• Exceptional communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Exceptional Organizational Skills. High attention to detail and a proactive approach to problem-solving.
• Ability to thrive in a fast-paced, dynamic, and confidential work environment.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Responsibilities:

We are seeking a meticulous and highly organized leader to oversee and streamline cutting edge development projects. The ideal candidate will possess a robust technical background, exceptional communication skills, and a proven track record of managing complex technical projects. Your role will be pivotal in ensuring that our projects are executed flawlessly, on time, and within budget.

• Project Planning and Execution

Develop detailed project plans, including scope, schedules, objectives, deliverables, resources, timelines, and budgets.

Monitor project progress against these plans.

Coordinate and manage technical project activities, ensuring all project phases are delivered on time and within scope.

Track project performance and analyze the successful completion of goals.

Identify and mitigate potential risks and issues, escalating them as necessary.

• Stakeholder Management

Serve as the primary point of contact for all project stakeholders.

Facilitate effective communication between internal teams and external partners.

Prepare and present project status reports, highlighting key metrics and progress updates to senior management and stakeholders.

• Risk Management

Identify potential project risks and develop mitigation strategies.

Monitor project risks continuously and implement contingency plans as necessary.

• Documentation and Reporting

Maintain comprehensive project documentation, including requirements, design specifications, test plans, and user manuals.

Ensure all documentation is up-to-date and accessible to team members and stakeholders.

• Process Improvement

Assist in developing and implementing project management processes, tools, and best practices.

Identify areas for process improvement and implement changes to enhance project efficiency and effectiveness.

• Technical Support

Provide technical support and guidance to project teams.

Facilitate the resolution of project-related technical issues promptly.

• Collaboration with Cross-functional Teams

Collaborate with cross-functional teams to define project requirements and objectives.

Facilitate effective communication among team members and stakeholders.

Job Type: Part-time

Pay: From Php40,000.00 per month

Expected hours: 20 per week

Benefits:

• Work from home

Application Question(s):

• Have you worked in a BPO before?

Could you share more details about your BPO background? Specifically, we'd love to know which BPO companies you've worked for, the accounts or campaigns you handled, and your key responsibilities in those roles.

Please include the following details in your message:

BPO Company:

Account Name (not the industry):

Employment Dates (Start and End Date: YYY MM):

Position Held:

Work Setup (Office-Based or Work From Home):

Looking forward to hearing from you

Work Location: Remote

Data Science Consultant

We are looking for a highly experienced and technically proficient
Data Science Consultant
to join our team in
Manila
. This role requires a minimum of
7 years of dedicated experience
in data science and will involve significant leadership and technical contributions.

As a key member of our data science team, you will leverage your
expert Python skills
and understanding of
machine learning
to derive critical business insights. You will not only be responsible for hands-on data analysis and model development but also for guiding team decisions and fostering cross-functional collaboration.

Core Responsibilities:

• Technical Leadership:
  Act as a subject matter expert (SME), guiding and mentoring a team of data scientists, making crucial technical decisions, and ensuring high performance.
• Strategic Problem Solving:
  Identify and deliver data-driven solutions to complex problems impacting multiple teams and business functions.
• Collaboration & Influence:
  Engage effectively with various cross-functional teams to contribute to and influence key strategic decisions.
• Advanced Data Analysis:
  Perform comprehensive
  data analysis and munging
  (cleaning, transformation, normalization) on large, complex datasets to extract meaningful patterns and insights.
• Create compelling
  data visualizations
  using tools such as Tableau or Power BI to communicate findings clearly.

What You Bring:

• Expert-level Python
  skills.
• Profound understanding and hands-on experience with
  statistical analysis and a wide range of machine learning algorithms
  (e.g., linear/logistic regression, decision trees, clustering).
• Proven ability to
  extract, clean, and prepare large datasets
  for analysis.
• Proficiency in
  data visualization tools
  like Tableau or Power BI.

What's in store for you?

• Competitive salary and comprehensive benefits package
• Performance Bonuses
• Continuous learning and professional development programs
• Work with international clients

• Collect, clean, and analyze large structured and unstructured datasets.
• Develop and deploy machine learning models to solve business challenges.
• Design and implement experiments to test hypotheses and measure outcomes.
• Build data pipelines and scalable solutions for data processing.
• Communicate insights and recommendations to technical and non-technical stakeholders.
• Collaborate with engineers, product managers, and business analysts to integrate data-driven solutions into products and processes.
• Stay updated on emerging tools, technologies, and best practices in data science.

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.

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
Are you a data enthusiast with a passion for leading innovative projects and driving transformation in finance? Join our Finance AI task force as a Data Science Lead and spearhead our data analytics strategy. If you thrive on creating impactful solutions and mentoring a dynamic team, this role is for you

What You'll Do

• Lead and Innovate: Drive the development of RPA, analytical reports, and GPT workflows to support our Finance Division's RPA and AI initiatives.
• Collaborate: Work closely with Finance stakeholders to identify key questions and define impactful RPA and AI projects.
• Deliver Insights: Ensure the delivery of high-quality, actionable insights through rigorous RPA and AI data analysis.
• Mentor and Guide: Lead and mentor a team of data scientists, fostering a data-driven culture and promoting continuous learning in RPA and AI.
• Communicate Effectively: Present findings and recommendations related to RPA and AI to senior management and other stakeholders, making complex data understandable and actionable.
• Visual Storytelling: Utilize your storytelling and visualization skills to turn RPA and AI data insights into compelling narratives that drive business decisions.

What We're Looking For

• Educational Background: Bachelor's or Master's degree in Applied Mathematics, Data Science, Statistics, Computer Science, or a related field.
• Technical Expertise: Strong proficiency in Python and extensive experience in data visualization and storytelling, particularly with Looker Studio.
• Communication Skills: Excellent communication and presentation abilities, with the knack for translating complex data findings into clear, actionable business insights.
• Leadership Skills: Proven ability to lead, mentor, and inspire a team, fostering a culture of innovation and excellence.

Why You'll Love This Role

• Impactful Work: Lead projects that directly influence key business decisions and drive the success of our finance operations.
• Creative Freedom: Use your creativity to design innovative data solutions and compelling visualizations that make a real difference.
• Dynamic Team: Join a team of passionate, forward-thinking professionals who value collaboration and innovation.
• Career Growth: Enjoy continuous learning opportunities and professional development in the fast-evolving field of data analytics.
• Innovative Projects: Be part of exciting projects involving RPA and AI, pushing the boundaries of what's possible and shaping the future of finance automation.

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.

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.