64 AI Driven Systems jobs in the Philippines

Ready to build the future of automation?

We're looking for an AI & Automation Specialist to develop powerful AI agents, streamline workflows, and connect cutting-edge tools into seamless systems. If you thrive on innovation and love turning complex ideas into automated brilliance—apply now and help us redefine efficiency

Job Highlights

• Work Arrangement:
  Work from home
• Contract:
  Independent Contractor

Side note: Since this is a permanent work-from-home position and an "Independent Contractor" arrangement, the candidates must have their own computer and internet connection. They will handle their own benefits and taxes. The professional fees are on hourly rates and the rate depends on your performance in the application process.

Scope
:

• Primary focus on AI agent development and automation (highest priority)
• Secondary responsibilities include CRM management and marketing tasks (lower priority)
• Comprehensive automation system development
• Integration of multiple AI and automation platforms into cohesive workflows
• Ongoing optimization and maintenance of automated processes
• Support for community event management through automated systems

Responsibilities
:

• Build and develop AI agents using OpenAI technology
• Create automation workflows using Make (Integromat) and Zapier platforms
• Integrate AI agents with image generation AI tools
• Set up automated lead nurturing and follow-up processes
• Manage and optimize CRM operations within Klaviyo
• Create social media content through automated systems
• Develop marketing automation sequences
• Handle copywriting tasks for various marketing materials

Requirements:

• Proven experience in AI agent development and implementation
• Proficiency with OpenAI APIs and integration
• Strong knowledge of automation platforms (Make, Zapier)
• Experience with CRM systems, particularly Klaviyo
• Understanding of image generation AI tools and their integration
• Background in marketing automation and lead nurturing workflows
• Copywriting and content creation skills
• Ability to work independently and manage multiple automation projects

Independent Contractor Perks

• HMO Coverage for eligible locations
• Permanent work from home
• Immediate hiring

Reminder:

• Kindly apply directly to the link provided; you will be redirected to BruntWork's Career Site. Complete the initial requirements, including the voice recording, pre-screening assessment, and technical check of your computer/device.

ZR_28204_JOB

About us

WIZ.AI provides enterprise-grade conversational AI solutions to enhance customer experience and increase operational efficiency. WIZ.AI's AI Agents provide human-like engagement to facilitate customer interactions at scale, enabling businesses worldwide to connect with their customers and provide exceptional customer service and strong business ROI.

Job Summary

As a key team member on our AI product development team, you will strategically design and optimize conversational AI solutions on the WIZ AI Talkbot Platform. This senior role requires a powerful blend of technical expertise, project leadership, and a deep understanding of customer experience to drive large-scale projects, mentor junior designers, and establish best practices for end-to-end conversation design.

Key Responsibilities

• Lead and manage the end-to-end conversational design life-cycle from initial client discovery and strategic planning to final implementation and ongoing optimization.
• Aligning with customer teams on strategic business objectives and providing expert guidance on conversational design solutions.
• Define, develop, and lead the comprehensive quality assurance strategy, including test suite design, corpus validation, and advanced exploratory testing.
• Strategically monitor and optimize the AI conversation experience through in-depth analytics and user feedback, implementing solutions to enhance user interactions and resolve issues.
• Establish and document robust conversation design workflows and best practices to improve team efficiency and design quality.
• Mentor, train, and guide junior conversation designers, fostering their professional growth and development.
• Collaborate closely with different stakeholders to identify and drive platform enhancements based on project needs.

Requirements:

• Minimum of 3-5 years of experience in conversation design, product management, customer success manager, business analyst, chatbot designer.
• Demonstrated experience in defining and optimizing conversation design workflows and processes.
• Excellent communication, presentation, and client-facing skills, with the ability to articulate complex design decisions to both technical and non-technical stakeholders.
• Proven expertise in a leadership or managerial role, including leading project teams and mentoring colleagues.
• Strong analytical and problem-solving skills, with a data-driven approach to design and optimization.
• Experience with software, chatbot, or analyst testing is a significant plus.

Overview

We are looking for a Machine Learning / AI Engineer to join our global team. The role involves building and deploying AI-driven solutions that solve real-world problems, working with modern ML frameworks and collaborating closely with distributed engineering teams.

Responsibilities

• Design, develop, and deploy machine learning and AI models.
• Preprocess, analyze, and manage structured and unstructured datasets.
• Collaborate with engineers, data scientists, and product teams to integrate models into production systems.
• Evaluate models and experiments, refining them for accuracy and scalability.
• Document workflows and contribute to team knowledge sharing.

Requirements

• Proficiency in Python and ML/AI libraries (TensorFlow, PyTorch, scikit-learn, etc.).
• Hands-on experience in training, testing, and deploying models.
• Strong understanding of statistics, data modeling, and algorithms.
• Familiarity with REST APIs, ML pipelines, and cloud services (AWS, GCP, or Azure).
• Ability to collaborate effectively in a remote, distributed team environment.

Nice to Have

• Experience with large language models (LLMs) or generative AI.
• Familiarity with MLOps practices (CI/CD, Docker, Kubernetes).
• Knowledge of data orchestration tools (Airflow, Prefect, etc.).
• Exposure to natural language processing, computer vision, or recommendation systems.
• Interest in applying AI to automation, data integration, or workflow platforms.

Job Type: Full-time

Work Location: Remote

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 seeking a hands-on
MLOps / Machine Learning Engineer
with deep expertise in the
Azure Databricks
ecosystem to help build our AI/ML platform from the ground up. You will work collaboratively with a cross-functional team to implement a predefined architecture and establish the foundations of a production-grade system that adheres to strict data governance and compliance standards.

Because this is a greenfield build, the role combines MLOps and Machine Learning engineering responsibilities into a single, integrated position. You will contribute across the end-to-end ML lifecycle from data pipelines and governance through to model deployment and monitoring with a strong focus on collaboration. As the platform grows, you will help shape best practices and define clear processes, ensuring responsibilities remain focused and sustainable

• 5+ years of experience as an ML Engineer, MLOps Engineer, or similar hybrid role.
• Strong proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Proven expertise in Azure Databricks, Azure ML, Data Factory, Delta Lake, and MLflow.
• Hands-on experience with Git for pipeline development (branching strategies, code reviews, version control best practices).
• Solid understanding of MLOps practices, CI/CD, and production ML requirements.
• Experience working under strict governance and compliance frameworks.
• Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or related field.

Preferred Qualifications

• Familiarity with Generative AI, LLM deployment, or RAG pipelines using Azure OpenAI Service, LangChain, or open-source LLMs.
• Experience with vector databases (e.g., FAISS, Milvus, Pinecone) and model explainability tools.
• Azure certifications (e.g., Azure Data Scientist Associate, Azure Solutions Architect, or Azure DevOps Engineer).

Soft Skills

• Curious and eager to learn — passionate about exploring new technologies and approaches.
• Collaborative mindset — thrives in a team environment and values collective success.
• Adaptable — comfortable in a role that spans both ML engineering and MLOps, with evolving responsibilities.
• Problem-solving skills — able to balance compliance requirements with practical implementation.
• Attention to detail — especially in governance, testing, and documentation.
• Proactive communicator — ensures alignment with teammates and stakeholders.

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

• Collaborate with the team to implement the initial AI/ML architecture on Azure Databricks, setting up infrastructure and workflows.
• Design and build scalable, reproducible ML pipelines for data ingestion, feature engineering, training, testing, and deployment.
• Ensure version control and collaboration through Git-based workflows.

Model Lifecycle & MLOps

• Establish processes for automated model training, tuning, deployment, and monitoring using Databricks MLflow and Azure ML Pipelines.
• Define and manage model registries, versioning, and traceability.

Data Governance & Compliance

• Implement strict controls for data access, lineage, and security.
• Ensure all pipelines and models comply with regulatory requirements, auditability, and ML ethics standards.
• Embed compliance requirements into system design from day one.

Deployment & Monitoring

• Deploy models for real-time and batch inference using MLflow
• Contribute to monitoring frameworks for drift detection, latency, and performance degradation using Azure Monitor or equivalent.

CI/CD & Infrastructure

• Integrate pipelines with Azure DevOps or GitHub Actions for automated testing, validation, and deployment.
• Support infrastructure-as-code with Terraform, Bicep, or ARM templates to ensure reproducibility and scalability.

Collaboration & Documentation

• Partner with data scientists to productionize research prototypes.
• Document workflows, governance processes, and best practices for ongoing maintainability.

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

| |
We deliberately focus on what we know best.

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

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

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

Job Summary
This role will be reporting to the Head of AI Solutions and sitting within the CDO office of the bank. It is critical in driving AI adoption and enablement across the bank functions. The aim of this role is to lead the data science and machine learning team.

About Our Technology & Operations Team
Our Technology & Operations (T&O) team is the powerhouse for the Bank. We aim to go further, faster, to ensure we're agile and ready for tomorrow, today. Our diverse network enables us to innovate and build banking solutions that support communities to prosper. We're a place where talented people are encouraged to grow, learn, and thrive, to drive their own career journeys, to reach their full potential.

When you work with us, you're protecting the reputation and legacy of a 170 year organisation and building on it. We're driven by progress and continuously evolving to ensure we're agile and ready for tomorrow, today.

Key Responsibilities

• Work with senior management to develop and refine the bank's AI strategy, ensuring alignment with overall business objectives.
• Identify and prioritize AI use cases that have the potential to deliver significant business value.
• Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation
• Delivering, building and maintaining the Data Driven solutions that are core to Group Operations strategy.
• Provide thought leadership in data science techniques and business applications to unlock the value of SCB's data sets and external information.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Engage with internal clients to improve delivery of analytic projects.
• Explore leading methodologies and best practices and importing successful methodologies from international markets.

Our Ideal Candidate
Skills & Experience

• 15+ years of domain experience including Machine Learning
• Building and deploying machine learning models to detect and prevent financial crimes, achieving a measurable reduction in fraud losses for Standard Chartered.
• Mentor and guide a team of machine learning engineers and data scientists, fostering a culture of technical excellence and innovation.
• Mentor a team to deliver production-ready ML pipelines, integrating real-time transaction monitoring for compliance.
• Optimize feature engineering and model tuning to increase detection rates of suspicious activities
• Drive the adoption of advanced ML algorithms to identify sanctions evasion patterns, cutting investigation times for compliance teams.
• Expertise in model optimization and hyperparameter tuning to achieve high precision

Qualification

• Relevant degree qualification preferred

Role Specific Technical Competencies

• Domain Experience
• Manage Conduct
• Machine Learning
• Risk Management

About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together We

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What We Offer
In line with our Fair Pay Charter,
we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website

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