1,049 AI Software jobs in the Philippines

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.
We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

We are seeking a highly skilled, fast learner and well rounded, AI Software Engineer to join our AI innovation lab team. The ideal candidate will lead AI experiments and bring cutting-edge AI Agentic solutions from ideation to production.  

The mission of Avaloq’s AI Lab is to improve operational efficiency and client advisory capabilities through the application of state-of-the-art AI technology. We work collaboratively with industry leaders to deliver responsible and impactful solutions. Our team develops products tailored to the banking sector, supporting a broad range of users including banking operations, software engineers, knowledge services teams, and Relationship Managers. 

Your key tasks  

• Lead AI experiments and develop solutions from ideation to production 
• Collaborate with cross-functional teams to design and implement Agentic AI solutions  
• Develop advanced prompts, multi-Agents architecture and tools 
• Deploy and maintain LLM based solutions in production 
• Optimize solutions for performance, cost, and scalability 
• Stay up-to-date and evaluate the latest advancements in AI research and related regulations 

• At least B.Sc. degree in Computer Science, Engineering, or a related field  
• Strong background in data science, statistics, and experimental thinking   
• Understanding of data structures, algorithms, and software design principles  
• Effective communication and collaboration skills  
• Excellent analytical, coding, and debugging skills in Python
• At least 2 years of experience in Full-Stack Software Development (including university projects) 
• At least 2 years of applied ML experience, with 1 year of experience with LLMs and Agents (including university projects)
• Proven track-record of deploying and maintaining AI models in production  
• ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar 
• RAG pipelines with vector stores (e.g., Chroma, Qdrant) 
• Agent frameworks (e.g., LangChain, Google ADK, CrewAI) 
• Cloud AI services e.g. AWS (SageMaker, Bedrock), Azure (AI Studio), GCP (Vertex AI)   
• LLM & Agent Ops - experiment tracking tools (e.g. MLFlow), observability tools, evaluation pipelines, prompt engineering and maintenance tools 
• Familiarity with containerization technologies (e.g. Docker) and container orchestration systems (e.g. Kubernetes) 
• Micro-services and REST APIs  

It would be a real bonus if you have  

• Experience as a tech-lead with hands-on attitude   
• Contributions to open-source AI projects   
• Optimization and compute distribution for training and inference e.g. NVIDIA NIM, CUDA, DeepSpeed, Ray etc. 
• Experience in developing core banking systems and/or wealth management solutions  
• Knowledge of the latest advancements in AI ethics and responsible AI practices  
• Front-end development experience  
• TypeScript, Angular 
• Java, SprintBoot, Kotlin 

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. 

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. 

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. 

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.  

#LI-Hybrid

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.
We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

We are seeking a highly skilled, fast learner and well rounded, AI Software Engineer to join our AI innovation lab team. The ideal candidate will lead AI experiments and bring cutting-edge AI Agentic solutions from ideation to production.  

The mission of Avaloq’s AI Lab is to improve operational efficiency and client advisory capabilities through the application of state-of-the-art AI technology. We work collaboratively with industry leaders to deliver responsible and impactful solutions. Our team develops products tailored to the banking sector, supporting a broad range of users including banking operations, software engineers, knowledge services teams, and Relationship Managers. 

Your key tasks  

• Lead AI experiments and develop solutions from ideation to production 
• Collaborate with cross-functional teams to design and implement Agentic AI solutions  
• Develop advanced prompts, multi-Agents architecture and tools 
• Deploy and maintain LLM based solutions in production 
• Optimize solutions for performance, cost, and scalability 
• Stay up-to-date and evaluate the latest advancements in AI research and related regulations 

• At least M.Sc. degree in Computer Science, Engineering, or a related field  
• Strong background in data science, statistics, and experimental thinking   
• Understanding of data structures, algorithms, and software design principles  
• Effective communication and collaboration skills  
• Excellent analytical, coding, and debugging skills in Python
• At least 5 years of experience in Full-Stack Software Development  
• At least 3 years of applied ML experience, with 1 year of experience with LLMs and Agents 
• Proven track-record of deploying and maintaining AI models in production  
• ML frameworks such as TensorFlow, PyTorch, Scikit-learn or similar 
• RAG pipelines with vector stores (e.g., Chroma, Qdrant) 
• Agent frameworks (e.g., LangChain, Google ADK, CrewAI) 
• Cloud AI services e.g. AWS (SageMaker, Bedrock), Azure (AI Studio), GCP (Vertex AI)   
• LLM & Agent Ops - experiment tracking tools (e.g. MLFlow), observability tools, evaluation pipelines, prompt engineering and maintenance tools 
• Familiarity with containerization technologies (e.g. Docker) and container orchestration systems (e.g. Kubernetes) 
• Micro-services and REST APIs  

It would be a real bonus if you have  

• Experience as a tech-lead with hands-on attitude   
• Contributions to open-source AI projects   
• Optimization and compute distribution for training and inference e.g. NVIDIA NIM, CUDA, DeepSpeed, Ray etc. 
• Experience in developing core banking systems and/or wealth management solutions  
• Knowledge of the latest advancements in AI ethics and responsible AI practices  
• Front-end development experience  
• TypeScript, Angular 
• Java, SprintBoot, Kotlin 

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. 

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. 

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. 

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.  

#LI-Hybrid

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.