302 Machine Learning Roles jobs in the Philippines

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).

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*

Machine Learning Developer

We are looking for a skilled Machine Learning Developer to join our team. In this role, you'll be tasked with designing and implementing machine learning models to solve complex problems and enhance our applications' capabilities. You will work closely with data scientists and software developers to integrate AI functionalities seamlessly.

Responsibilities:

• Designing and developing machine learning and deep learning systems.
• Running machine learning tests and experiments to enhance model accuracy.
• Implementing appropriate ML algorithms to solve various tasks and improve application performance.
• Collaborating with data engineers to build data and model pipelines.
• Analyzing and visualizing data to drive insights and optimize performance.
• Staying updated with the latest machine learning technologies and methodologies.
• Ensuring that algorithms generate scalable and efficient solutions.

Requirements:

• Strong proficiency in Python (proficiency in C# and .NET is preferred).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
• Knowledge of data structures, data modeling, and software architecture.
• Familiarity with cloud services (Azure, AWS, or Google Cloud) and their machine-learning tools is preferred.
• Ability to work with large data sets and understand complex algorithms.
• Strong analytical and problem-solving skills.
• Excellent English oral and written communication skills.
• Willingness to work on Pacific Standard Time (8:00 AM – 5:00 PM California Time).
• Must own a Laptop or Desktop (8GB RAM, Core i5 or above) with an internet connection of at least 10mbps.

Position Title: Machine Learning Engineer

Salary: Open for discussion/negotiation

Mandatory Qualifications:

• Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.
• 5+ years of experience in machine learning, data science, or a related field.
• Strong proficiency in programming languages such as Python, R, or Java.
• Extensive experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Proven track record of designing and deploying machine learning models in a production environment.
• Solid understanding of statistical methods, data analysis, and data preprocessing techniques.
• Experience with big data technologies and tools such as Hadoop, Spark, or similar.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
• Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning is a plus.

Desired Qualifications:

- Experience in Financial institution or Fintech company data analytics

- Publications or contributions to the machine learning community or production experience of product launch.

- Experience with ML Ops practices and tools.

Job Types: Full-time, Permanent

Work Location: In person

What You'll Do

Domain‑Driven Model Development

• Lead end‑to‑end ML projects (predictive maintenance, golden‑batch optimization, fault‑detection) in manufacturing, energy, water and building contexts.

Data Engineering & Feature Work

• Ingest and preprocess time‑series sensor, PLC, and historian data.
• Engineer features for equipment health, process stability ("golden batch" profiles), energy/water efficiency.

Modeling & Deployment

• Build and validate models (classification/regression) using scikit‑learn, TensorFlow/PyTorch.
• Containerize and serve via TensorFlow Serving, ONNX Runtime or equivalent. Monitor model drift and retrain pipelines in production.

Cross‑Functional Collaboration

• Design and document APIs, message‑queue integrations (Kafka/RabbitMQ) for downstream apps.

Must‑Have Qualifications

Deep Industry Experience

• 3+ years in Manufacturing or relevant roles in Energy, Water or Building Automation.
• Hands‑on understanding of shop‑floor processes, PLC data, preventive vs. predictive maintenance.

ML Fundamentals

• Solid grasp of backpropagation, F1‑score vs. confusion‑matrix trade‑offs, over/under‑sampling.

Software & Data Skills

• Python: threading, async, type‑hints; familiar with pandas, NumPy.
• SQL: complex JOINs, GROUP BY, window functions.
• APIs & Queues: REST/gRPC design, Kafka or RabbitMQ.·

Deployment Frameworks

Experience with TensorFlow Serving or ONNX Runtime on Kubernetes or edge‑devices.

Bonus

• Computer Vision: OpenCV, image‑processing pipelines for visual inspection.
• Edge AI: Raspberry Pi, Jetson Nano or similar—optimizing models for constrained hardware.

What We're Looking For

• Domain‑First Mindset: You know that real impact comes from marrying hands‑on equipment knowledge with ML, not just toy datasets.
• Fast Learner: You'll upskill on new algorithms and tools via online courses and documentation—nothing holds you back.
• Collaborative Communicator: You can translate between data science jargon and operations speak.
• Product‑Obsessed: You see every ML experiment as a step toward a tangible solution for our clients.

Job Types: Full-time, Permanent

Benefits:

• Company Christmas gift
• Company events
• Flexible schedule
• Flextime
• Health insurance
• Life insurance
• Paid training
• Promotion to permanent employee

Work Location: In person

What is the Job all about?

We're hiring Join our team as a Machine Learning Engineer where you'll play a key role in productionizing, monitoring, and maintaining cutting-edge machine learning and AI services. This role also offers an exciting opportunity to contribute to model development, working alongside a talented team to bring innovative solutions to life. If you're passionate about building scalable ML systems and driving real-world impact through AI, we'd love to hear from you

Your main responsibilities:

• Implement production-grade machine learning services in alignment with established technical standards.
• Develop standardized solutions for model deployment and model monitoring to ensure scalability and reliability.
• Drive the development and refinement of technical standards for ML systems and services.
• Collaborate closely with data scientists to transition prototype models into production-ready solutions.
• Work with data engineers to ensure high-quality training data pipelines are in place.
• Support external spoke teams by assisting in model deployment where internal capabilities are limited.

Your background:

• Bachelor's degree in computer science, Engineering or closely related field
• At least 2 years of industry experience in building Machine Learning system.
• Solid experience in using Python
• Excellent Software development skills and knowledge about best practices
• Experience in having ML services in production (MLOps)
• Solid experience working in cloud environment and ML platforms, preferably in Azure ML Studio and Azure cloud

What's in it for you?

Whether it's developing skills or advancing your expertise even further, we'll support you with continuous learning and development opportunities, to help discuss and steer your long-term Grundfos career path. You'll be welcomed from day one into an inclusive, trusting environment guided by six core values.

• Development opportunities in an international environment
• People- and value-focused organization culture
• Social, team and sport events
• Training opportunities

Do you want to learn more?

If this job sounds appealing, please send your resume and cover letter by clicking "Apply".

To dig deeper into the Grundfos universe, follow us on LinkedIn or Youtube, and to get to know some of your future colleagues and why they enjoy working at Grundfos, check out Meet our people

We look forward to hearing from you.

Founded in 1994 and headquartered in Switzerland,
ERNI
is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team.

Why ERNI is the Perfect Place for You:

• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.

Perks And Benefits

• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Wedding Gift: To celebrate your special day.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.

Growth And Opportunities

• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,

Finance, and Transportation.

• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and

opportunities for promotion.

• Open Communication: Experience transparency and value your input in our culture.

Flexibility

• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.

Events

• Connect and Celebrate: Participate in a variety of events including leisure, summer,

family, social, and year-end gatherings.

What Are Our Wishes
We are looking for a motivated MLOps / Machine Learning Engineer with strong experience in the Azure Databricks ecosystem to support the development of our AI/ML platform. You will work as part of a cross-functional team to build and maintain pipelines, implement MLOps practices, and ensure compliance with data governance standards.

This role is hands-on, focusing on applying best practices in ML engineering and MLOps to deliver reliable, scalable solutions. You will work closely with senior engineers and data scientists to productionize machine learning workflows and continuously improve processes.

• 2–4 years of experience as an ML Engineer, MLOps Engineer, or related role.
• Solid proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Practical experience with Azure Databricks, MLflow, and Delta Lake.
• Familiarity with Git-based workflows and CI/CD pipelines.
• Understanding of MLOps principles and production ML requirements.
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.

Preferred Qualifications

• Experience with Generative AI, LLM deployment, or RAG pipelines is a plus but not required.
• Exposure to Azure ML, Data Factory, and vector databases.
• Azure certifications (Data Scientist Associate, Solutions Architect, or DevOps Engineer) are advantageous.

Soft Skills

• Eager to learn and grow — curious about new tools and methods.
• Collaborative and supportive — enjoys working with cross-functional teams.
• Detail-oriented — ensures quality in governance, testing, and documentation.
• Strong communicator — able to share progress and challenges effectively.

*How can you contribute to the team?
Platform & Pipeline Development *

• Contribute to building and maintaining ML pipelines for data ingestion, feature engineering, training, testing, and deployment in Azure Databricks.
• Collaborate with senior engineers on infrastructure setup and workflow automation.
• Follow Git-based workflows for version control and collaboration.

Model Lifecycle & MLOps

• Support model training, tuning, deployment, and monitoring using Databricks MLflow or Azure ML.
• Contribute to managing model registries, versioning, and traceability.

Data Governance & Compliance

• Apply data security and access control standards as defined by the team.
• Ensure ML pipelines adhere to compliance and governance frameworks.

Deployment & Monitoring

• Deploy models for batch and real-time inference under guidance from senior engineers.
• Help implement monitoring for performance and drift detection

CI/CD & Infrastructure

• Contribute to integrating pipelines with CI/CD tools such as Azure DevOps or GitHub Actions.
• Support infrastructure-as-code practices (Terraform, Bicep, or ARM templates).

Collaboration & Documentation

• Work closely with data scientists to move prototypes into production.

Document workflows and contribute to knowledge sharing within the team.

Switzerland

• Germany
• Spain
• Slovakia
• Romania
• Philippines
• Singapore
• USA

ERNI Development Center Philippines Inc.
, 9th Floor, Lica Malls Shaw, 500 Shaw Boulevard, 1555, Mandaluyong City, Philippines

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We deliberately focus on what we know best.

• 18 Locations in 8 Countries
• 800+ Employees across the Globe
• ISO Certified