What Jobs are available for Machine Learning in the Philippines?

Overview

We are seeking a highly motivated and experienced AI Researcher to join our team. In this role, you will lead cutting-edge research in artificial intelligence, machine learning, and the application of fundamental models. Your work will focus on developing, testing, and optimizing novel AI algorithms and models that can drive innovation across the organization. If you have a passion for exploring new ideas and pushing the boundaries of AI, we want to hear from you.

Key Responsibilities

· Research & Development:

• Conduct fundamental and applied research in artificial intelligence, machine learning, and related fields.
• Design, develop, and optimize AI algorithms and models, leveraging advanced machine learning technieque and fundamental models.
• Experiment with novel AI methodologies to improve the performance, scalability, and reliability of AI systems.
• Apply and innovate machine learning techniques to solve complex challenges and improve model efficiency.

· Prototyping & Validation:

• Develop prototypes and proof-of-concept models to validate research ideas.
• Conduct thorough testing, analysis, and validation of AI solutions to ensure real-world applicability.

· Collaboration & Innovation:

• Work closely with data scientists, engineers, and domain experts to align research efforts with project requirements and business needs.
• Contribute to long-term AI strategies and innovation roadmaps by integrating cutting-edge research insights.

· Knowledge Sharing & Publication:

• Stay up-to-date with the latest advancements in AI, machine learning technieque, and fundamental models.
• Present research findings internally and publish results in peer-reviewed journals or conferences to contribute to the broader AI community.
• Translate research insights into deployable AI systems and provide recommendations for future improvements.

· Ethical & Efficient Practices:

• Address challenges related to data processing, algorithm efficiency, and ethical AI practices throughout the research lifecycle.

Qualifications and Skills

• Diploma/Degree in Computer Engineering, Computer Science, Information Technology, or a related field with a major in Artificial Intelligence, Machine Learning, Data Science, or similar disciplines.
• Proven experience in conducting AI research or applying machine learning techniques in industry or academia.
• A strong portfolio of published research or successful AI applications is highly desirable.
• Proficiency in programming languages such as Python, R, or C++.
• Deep understanding of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Demonstrated expertise in applying a wide range of machine learning technieque—including supervised, unsupervised, and reinforcement learning.
• Solid knowledge of statistical methods, data modeling, and algorithm development.
• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and big data tools is a plus.
• Ability to manage multiple research tasks and handle interruptions effectively.
• Excellent analytical and problem-solving skills with a passion for innovation in AI.
• For senior positions, at least 3 years of relevant research or practical experience is required.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

Job Type: Full-time

Pay: Php50, Php95,000.00 per month

Benefits:

• Health insurance
• Paid training

Ability to commute/relocate:

• Alabang: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• What is your current salary?
• How much is your expected salary?
• How long is your notice period?

Education:

• Bachelor's (Required)

Experience:

• AI Researcher: 3 years (Required)

Work Location: In person

Overview

We are seeking a highly motivated and experienced AI Developer to join our team. In this role, you will leverage modern web technologies and cloud-based AI services to build and integrate advanced AI-powered features into our web applications. Your primary focus will be on developing robust, scalable solutions using along with AWS and Azure AI platforms.

Key Responsibilities

Develop AI-Powered Web Applications:

• Build, integrate, and optimize AI-powered features within our web application using
• Utilize AWS AI services (including Bedrock and Sagemaker) and Azure AI tools (such as Azure AI Services and Azure Machine Learning) to implement cutting-edge solutions.

Collaborate & Innovate:

• Work closely with cross-functional teams to gather requirements and design AI-based solutions that address business needs.
• Propose innovative ideas for AI integration, driving continuous improvement and digital transformation across the organization.

Performance Evaluation & Optimization:

• Continuously monitor and evaluate the performance of AI models and web components, making data-driven adjustments to improve efficiency and scalability.
• Troubleshoot issues and provide timely technical support to ensure minimal disruptions.

Stakeholder Communication:

• Explain the capabilities, potential, and limitations of AI systems to project managers and stakeholders, ensuring alignment with business objectives.

Additional Tasks:

• Handle ad-hoc assignments as directed by the Project Manager or Supervisor.

Qualifications & Skills

Education:

• Diploma/Degree in Computer Engineering, Computer Science, Information Technology, or a related field.
• For Senior positions, a minimum of 3 years of relevant experience is required.
• Fullstack Development: Proven experience with fullstack development, with a strong emphasis on for building dynamic, modern web applications.
• AWS Proficiency: Hands-on experience with AWS cloud services, particularly AWS Bedrock and AWS Sagemaker.
• Azure Experience: Familiarity with Azure AI Services and Azure Machine Learning to deploy and manage AI solutions.
• Programming: Proficiency in JavaScript/TypeScript for frontend and backend development. Knowledge of Python or other relevant languages is a plus.
• Ability to manage multiple tasks and work effectively in a fast-paced, dynamic environment.
• Excellent problem-solving skills with a passion for integrating innovative AI solutions.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

Job Type: Full-time

Pay: Php50, Php90,000.00 per month

Benefits:

• Health insurance
• Paid training

Ability to commute/relocate:

• Alabang: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• What is your current salary?
• How much is your expected salary?
• How long is your notice period?

Education:

• Bachelor's (Required)

Experience:

• AI Developer: 3 years (Required)

Work Location: In person

About Us

We're a fast-moving startup on a mission to revolutionize the call centre industry using the power of AI and Large Language Models. We're building intelligent systemsto enhance customer experience, supercharge agent performance, and drive operational excellence.

Through advanced conversational AI, we build systems that understand, adapt, and evolve with every conversation. Our platform powers decision-support tools and intelligent virtual agents helping call centers deliver faster, smarter, and more human customer service—where every interaction matters.

As an ML Engineer, you'll design, train, and deploy models that not only empower better decisions and agent experiences—but also power the core intelligence behind real-time conversations. If you're a self-starter with a passion for deploying ML at scale and know how to get your hands dirty with LLMs, we want you on our founding team.

What You'll Do

• Design, build, and deploy ML pipelines and LLM-powered applications from scratch.
• Fine-tune, prompt, and integrate state-of-the-art LLMs (e.g., OpenAI, LLaMA, Mistral).
• Apply advanced techniques like retrieval-augmented generation (RAG), tool use, and embedding search.
• Collaborate with product and engineering to build AI-driven features for real-world call centre use cases (e.g., agent coaching, auto summarization, sentiment analysis).
• Own experiments end-to-end — from hypothesis to deployment — with minimal supervision.
• Optimize model inference (latency, memory) for production-scale workloads.
• Set up scalable infrastructure for model training, evaluation, and continuous improvement.
• Help shape our ML/AI roadmap and contribute to technical strategy.

What We're Looking For

• 3+ years of experience as an ML Engineer
• Deep expertise in NLP and LLMs (e.g., transformers, LoRA, vector search, prompt engineering).
• Strong Python skills and hands-on experience with frameworks like Hugging Face Transformers, LangChain, OpenAI, PyTorch.
• Experience deploying ML models in production (e.g., APIs, containers, cloud-based services).
• Comfort working in early-stage/startup environments — fast pace, lots of ambiguity, high impact.
• Ability to work autonomously and make product-informed decisions with minimal oversight.

Bonus Points For

• Experience in or knowledge of the call centre / contact centre space.
• Familiarity with voice-to-text models, real-time analytics, or conversation intelligence.
• MLOps experience (e.g., model versioning, monitoring, CI/CD).
• Prior experience with vector databases (e.g., FAISS, Pinecone, Weaviate).

Why Join Us?

• Be part of a mission-driven startup from the ground up.
• Shape the future of AI in a high-impact, real-world industry.
• Work remotely with flexibility and autonomy.
• Competitive compensation

Job Type: Full-time

Work Location: Remote

Gratitude Philippines is hiring a Full time Machine Learning Engineer role in Mandaluyong, NCR. Apply now to be part of our team.

Job summary:

• Flexible hours available

Mandatory Qualifications

• Master's degree in Computer Science, Data Science, Machine Learning, or related field (Ph.D. is a plus).
• 5+ years of experience in machine learning, data science, or related field.
• Strong programming skills in Python, R, or Java.
• Extensive experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, etc.
• Proven track record of designing and deploying ML models in production.
• Solid understanding of statistical methods, data analysis, and preprocessing techniques.
• Experience with big data tools (Hadoop, Spark, etc.).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Excellent problem-solving, critical thinking, and communication skills.
• Experience in NLP, computer vision, or specialized ML domains is a plus.

Desired Qualifications

• Experience in financial institutions or fintech data analytics.
• Publications, open-source contributions, or participation in the ML research community.
• Experience with ML Ops practices and tools for scalable deployment and monitoring.

Job Types: Full-time, Permanent

Work Location: In person

Job Summary

OODC is seeking a highly analytical and detail-oriented Machine Learning Engineer to join our team in a hybrid setup in Makati. This role is crucial for developing, deploying, and maintaining robust machine learning models, with a particular focus on the data and annotation pipelines that power them. The ideal candidate excels at rapid prototyping, possesses sharp analytical judgment to ensure data integrity, and is capable of quickly adopting new technical specifications and data taxonomies. You must be an excellent communicator, thrive in a collaborative environment, and be committed to delivering high-quality, documented work.

You're an ideal fit if you…

• Have experience in one or more of these areas: Developing, deploying, and maintaining

ML models in production; expertise in computer vision or natural language processing

(NLP); and strong experience with large-scale data annotation pipelines and quality

assurance.

• Apply sharp analytical judgment to decide if a model's output (predictions, features) or

the training data (annotations, ground truth) meet the required technical and data

standards.

• Excel at following precise instructions and adopting new ML frameworks, algorithms,

and data entity definitions/taxonomies quickly.

• Possess strong analytical skills for judging data usefulness, feature relevance, and

model conformity to performance metrics and established specifications.

• Combine attention to technical and visual detail with the ability to document model

architecture, data pipelines, and performance findings clearly for internal and client

review.

• Communicate crisply in writing and thrive in multi-round, collaborative review and model

refinement cycles with research and annotation teams.

• Have exceptional written and verbal communication skills for effectively presenting

complex technical concepts.

Here are more details about the role:

• You'll collaborate directly with OODC project coordinators and the client's research, data science, and annotation leads to integrate ML solutions.

• Start dates are rolling; we aim to onboard qualified experts within a few days (1-2) of the final screening process.

• There is up to 40 hours of work available per week, depending on project needs.

• The work is a hybrid setup at Makati (requiring both remote and in-office presence).

With respect to pay and legal status:

• You will be legally classified as a project employee and will be paid every 3rd and 18th of the month.

Screening Process:

• You will undergo two levels of interview to assess your technical expertise, analytical capabilities, and cultural fit.

Required Qualifications

• Education: A minimum of a Bachelor's degree in a quantitative field such as Computer Science, Data Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field.

• Experience: Minimum of 2-5 years of experience in a data-centric role or possesses professional experience in a related role (Software Engineer, Data Scientist, or ML Engineer).

• Technical Proficiency: Strong hands-on experience with commercial or open-source

data annotation tools and platforms.

• Data/ML Knowledge: Solid understanding of Machine Learning concepts, data labeling methodologies (e.g., bounding boxes, segmentation, transcription, NLP labeling), and how high-quality data impacts model performance.

• Project Management: Proven experience in managing complex projects, meeting tight deadlines, and managing a large, diverse workforce.

• Soft Skills:

o Problem-Solving: Strong analytical and critical thinking skills to identify problems and

select the most appropriate ML solution.

o Communication: Excellent verbal and written communication skills to clearly explain

complex models and results to both technical and non-technical stakeholders (Data

Scientists, Software Engineers, and Business Leaders).

o Adaptability: A commitment to continuous learning in a field that rapidly evolves.

Why Join OODC?

At One Outsource Direct Corporation, you will play a central role in the foundational phase of next-generation AI projects. We are a dynamic, growth-driven company committed to Responsible Innovation and Purposive Learning, offering a pathway for career advancement in the rapidly evolving field of Machine Learning Operations (MLOps).

Responsibilities:

-Assist in researching and developing machine learning models

-Support data collection, cleaning, and preprocessing tasks

-Run experiments and analyze model performance

-Collaborate with senior researchers and engineers on ongoing projects

-Stay current with the latest AI research and tools

Requirements:

-Willingness to work onsite in Makati

-Recent graduate with a degree in Computer Science, Data Science, AI, or a related field

-Basic understanding of machine learning and deep learning concepts

-Familiarity with Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)

-Strong problem-solving and analytical skills

-Eagerness to learn and contribute to real-world AI applications

Role Overview

We're looking for a fresh graduate with a strong academic foundation in AI or machine learning to join our research team. This is a fantastic opportunity to gain hands-on experience in cutting-edge AI technologies, work on impactful projects, and grow your career in a supportive, innovative environment.

Responsibilities:

-Assist in researching and developing machine learning models

-Support data collection, cleaning, and preprocessing tasks

-Run experiments and analyze model performance

-Collaborate with senior researchers and engineers on ongoing projects

-Stay current with the latest AI research and tools

Requirements:

-Willingness to work onsite in Makati

-Recent graduate with a degree in Computer Science, Data Science, AI, or a related field

-Basic understanding of machine learning and deep learning concepts

-Familiarity with Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)

-Strong problem-solving and analytical skills

-Eagerness to learn and contribute to real-world AI applications

Job Types: Full-time, Permanent

Work Location: In person

ADEC Innovation
 is a global, purpose-driven business solutions organization that specializes in integrating business process solutions with sustainability and environmental management. With a history spanning over three decades, the company was founded in Manila, Philippines, in 1996 and has since expanded its footprint to six continents with a workforce of over 5,000 associates. ADEC Innovation is driven by a mission to advance sustainable business and operational practices by transforming information into knowledge and reshaping risk into positive impact and value for its clients.

We are looking for 
OCR Processor (Machine Learning)
 to join our growing team

Basic Qualification:

• Graduate of BS in Computer Science, Information Technology, or any related related field
• Must have at least 1 year of work experience in a relevant or related role/capacity; experience with OCR technologies and machine learning-driven data extraction is considered an advantage
• Must be amenable to work onsite in Alabang, Muntinlupa on a shifting schedule

Duties and Responsibilities:

Processing:

• Review and upload vendor files into the OCR software to generate output files for daily uploads into Expense Logic.
• Identify and report EL Mapping or Customer Mapping issues to the IT team. Address OCR software-related issues with the team on a daily basis.
• Maintain a daily log of processed invoices, issues encountered, and monthly averages; report findings to leadership.

Integration with Applications:

• Integrate OCR solutions with existing systems to automate data extraction workflows.
• Collaborate with software developers to ensure smooth and efficient integration of OCR functionalities.

Training and Testing:

• Tag and train the OCR model using machine learning techniques to improve recognition accuracy.
• Conduct thorough testing and validation of OCR files to ensure high precision and recall rates.

Customization and Configuration:

• Customize OCR solutions to meet specific project requirements and support various document formats.
• Configure OCR parameters for optimal performance across different use cases.

Performance Optimization:

• Enhance OCR performance, scalability, and resource efficiency.
• Implement parallel processing and other optimization techniques to improve processing speed.

Documentation:

• Create and maintain detailed documentation for OCR algorithms, configurations, and integration procedures.
• Provide clear documentation for troubleshooting and support purposes.

What's in it for you?

• Competitive salary package
• Life Insurance on Day 1
• HMO with free dependent*
• Paid leave credits*