Associate Director, Ai Research Scientist(Philippines, Singapore)

Associate Director AI Research Scientist Philippines

Posted 1 day ago

Job Description

Greetings From LanceSoft

Onsite Setup

6 Month Contract Role

Skills required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 5 years experience in data and AI including chatbot experience management.
• Has done solutioning and solution architecture assessment, design and execution
• Strong understanding of user interface (UI) and user experience (UX) principles and best practices.
• Excellent programming skills in Python, R, SQL; reporting tools MS Power BI, Tableau, or other MS Office; and preferably experience in developing mobile/web apps.
• Exposure to machine learning models for integration with AI programs; familiarity with statistical modeling techniques.
• Familiarity with Gen AI and other AI technologies, preferably with MS Copilot Studio and other LLMs.
• Excellent communication and storytelling skills, with the ability to craft compelling narratives and engage the target audience.
• Skilled in research, business and technical analysis, and presenting business value propositions.
• Experience in branding and communications with a keen eye for visual design and messaging.
• Familiarity with conversational design principles and chatbot/virtual assistant technologies.
• Strong project management skills, with the ability to prioritize tasks, meet deadlines, and manage multiple stakeholders; understanding of agile methodologies (Scrum or Kanban) and their application in AI product development.
• Creative mindset with the ability to think outside the box and innovate.

Artificial Intelligence Engineer

Taguig, National Capital Region

₱ - ₱

Y Socium - Teams Done Differently

Posted 1 day ago

Job Description

About the Opportunity:

The Artificial Intelligence Engineer will join the pioneering team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).

Duties and Responsibilities:

• Design, implement, and deploy machine learning algorithms.
• Manage the machine learning algorithm lifecycle.
• Coordinate data collection and annotation efforts.
• Work with real-time data and content coming from various data sources.
• Manage machine learning data pipelines.
• Design tests for machine learning algorithm effectiveness and performance monitoring.
• Design tools and interfaces for interactive machine learning and teaching.
• Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:

• Graduate degree in Computer Science with a strong background in machine learning required.
• Strong problem-solving abilities with solid background in algorithms and data structures.
• Strong programming skills in Python and Scala. Experience in other languages (Java, R, Haskell) a plus.
• Solid knowledge of ML tools (scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib).
• Experience with distributed and streaming data technologies (Hadoop, Spark, Kafka).
• Experience with building and deploying APIs with Docker and Kubernetes.
• Experience with natural language processing tasks (NER, language modeling, vector representations).
• Experience with Elastic Search/Lucene a plus but not required.
• Experience with ranking algorithms a plus but not required.
• Experience with interactive ML (active learning, reinforcement learning, machine teaching) a plus but not required.

Artificial Intelligence Developers

Pasig City, National Capital Region

₱ - ₱

Y Offshore Outsource Operations, Inc.

Posted today

Job Description

Artificial Intelligence Stackers (Front-End, Back-End, or Full Stack)

Are you an AI/ML enthusiast eager to build and innovate at the intersection of software engineering, machine learning, and agentic AI tooling? We're looking for talented individuals to contribute across the technology stack – from front-end user interfaces to back-end services, ML pipelines, and the integration of autonomous agents using state-of-the-art AI frameworks.

Our Business Automation Professionals company is part of a dynamic group with offices in NSW, Australia, and Pasig, Manila, Philippines. We're expanding our Artificial Intelligence division and opening 10 new positions for Min-Senior Level Artificial Intelligence Engineers to join our journey.

This is a full-time role, based in our Pasig office, working Australian business hours.

We need versatile and driven individuals focused on building agentic AI systems – AI agents that can plan, reason, act autonomously, and deliver immense value across various domains. Whether your strength lies in the front-end, back-end, or full stack, we want to hear from you.

Your Impact & Responsibilities

• Design, develop, and maintain scalable applications that incorporate AI/ML and agentic systems.
• Build and deploy machine learning models and pipelines into cloud-based, production-ready environments.
• Develop APIs, backend systems, and/or front-end interfaces that enable seamless interaction with autonomous agents and AI systems.
• Integrate AI agents (LLMs, tool-using agents, planning agents) using frameworks like LangChain, CrewAI, or custom-built agentic architectures.
• Collaborate closely with product managers and UX designers to deliver seamless AI-driven applications.
• Implement robust data handling, storage, and visualization layers to support agentic workflows.
• Contribute to code reviews, architecture discussions, and knowledge sharing across the engineering team.
• Continuously monitor, evaluate, and improve system performance and user experience.

What You'll Bring

• Bachelor's Degree or higher in computer science, software engineering, information technology, data science, or similar fields.
• Minimum of 1 years of professional experience in front-end, back-end, or full stack software development.
• Strong experience with Python (FastAPI, Django, Flask, etc.) for back-end roles, and/or frontend frameworks (React, Vue, etc.).
• Solid understanding of ML concepts and experience integrating ML models into applications.
• Familiarity with agentic AI frameworks (LangChain, AutoGPT, CrewAI) or demonstrated interest in agentic system design.
• Experience working with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure).
• Knowledge of data structures, algorithms, and scalable system design.

Why Join Us?

• Work-Life Balance: Australian hours.
• Competitive Salary: PHP 55,000 - PHP 100,000 per month, depending on experience.
• Joining Bonus: PHP 30,000 after 1 year (T&Cs).
• Loyalty Bonus: PHP 60,000 after 4 years (T&Cs).
• Performance Bonuses and Comprehensive Benefits including Quality HMO.
• Paid Birthday Leave (T&Cs).
• Career Growth: Training and potential advanced training in Sydney, Australia.
• Referral Program.

Artificial Intelligence Engineer

Posted today

Job Description

Axos Bank – AI Center of Excellence

We are seeking an AI Engineer to join our AI Center of Excellence and drive the adoption and implementation of AI across Axos. The candidate will translate business needs into scalable, production-grade AI solutions.

Key Responsibilities

• Collaborate with business stakeholders to understand challenges and translate requirements into technical specs for AI-driven solutions.
• Build and test prototypes rapidly to validate ideas.
• Deliver scalable, secure, and production-grade AI applications on cloud platforms.
• Write clean, scalable, and documented code.
• Manage projects from review to delivery, aligning with CoE standards.
• Stay current with AI/ML advancements and advocate for new technologies.

Required Qualifications

• 3+ years of software engineering experience with Python.
• Familiarity with RESTful APIs, JSON, and system integration patterns.
• Knowledge of JWT and modern authorization mechanisms.
• Experience with Git or Azure DevOps.
• Experience with LLMs and generative AI applications.
• Ability to translate business requirements into technical solutions.

Preferred Qualifications

• Experience in financial services or banking.
• Experience with cloud-native AI services (Azure Vertex AI, Google Vertex AI).
• Experience with AI/LLM-powered applications and observability tools (e.g., LangChain).
• A proactive, can-do attitude and strong communication skills.

GDS Consulting_Data and Artificial Intelligence Associate Director

Posted 1 day ago

EY GDS Philippines seeks Associate Director to lead AI & Data practice, deliver cutting-edge AI & Data solutions, and grow client relationships. Role includes shaping practice strategy, managing end-to-end AI & Data projects, budgeting, skilling, and leadership development.

• Lead and scale the AI & Data practice in GDS Philippines.
• Manage end-to-end AI & Data projects for clients (problem definition, data acquisition, model development, deployment, monitoring).
• Architect complex deals and own key regional accounts.
• Represent GDS AI & Data team to stakeholders; contribute to POVs and position papers.
• Drive skilling programs, coaching, and leadership development; manage budget.
• Demonstrate strong consulting experience in Data Engineering, AI, and Automation.
• At least 12 years in data analytics/AI; university degree in statistics/math/computer science/engineering, etc.
• Proficiency in Python, R, SQL; cloud, big data, AI/ML experience.

EY | Building a better working world. EY GDS Philippines is part of EY Global.

Data Science Officer

Pasig City, National Capital Region

₱ - ₱

Y CreditAccess Philippines Financing Company, Inc

Posted 1 day ago

Job Description

OnePuhunan (CreditAccess Philippines) seeks a Data Science Officer to solve real-world challenges using data, ML, and innovation. Role includes prototyping, data processing, model deployment, dashboarding, and AI solution development (NLP, recommendation, predictive analytics).

What You'll Do

• Prototype, test, and deploy ML models; monitor and retrain for fairness and performance.
• Prepare data for insights and operational improvements; collaborate with stakeholders.
• Build dashboards and data visualizations; design AI solutions for business operations.
• Explore generative AI and LLM technologies; lead experiments and monitoring.
• Mentor interns and collaborate with data engineers and product managers.

What We're Looking For

• 5+ years in data science, ML, or analytics.
• Strong SQL, Python, and statistical modeling skills.
• Background in Mathematics, Statistics, Economics, CS, or related fields.
• Analytical mindset and ability to communicate insights; proactive team player.

Location

Work where data meets purpose; exposure to advanced analytics and growth opportunities.

Data Science Associate

Posted today

Kayana

Job Description

Data Science Associate will design, develop, and deploy ML models; integrate external datasets (PSA, DOH, DOE); advance MLOps practices; explore Generative AI and LLMOps; mentor interns.

Key Responsibilities

• Model development and deployment; monitor and retrain for scalability and fairness.
• Analytics & Insights; data enrichment; build ML pipelines; data visualization.
• Innovation and research; collaboration with engineers and product teams; mentorship.

Qualifications

• Experience developing and deploying ML models (classification, regression, clustering, forecasting).
• Python, scikit-learn, PyTorch, TensorFlow, Hugging Face.
• Familiarity with MLOps tools (MLflow, Feast, CI/CD, monitoring).
• SQL, data engineering concepts; cloud platforms (AWS, Databricks, Spark).
• Ethical AI, explainability, bias detection.
• Bachelor's in Data Science/CS/Statistics; Master’s preferred.

Preferred Skills

• Python, PySpark, SQL; Databricks; BI tools (Power BI, Metabase, Superset).
• Data warehouse modeling; data lake architectures; ML frameworks; Generative AI tooling (LangChain, LlamaIndex).
• MLOps and DataOps tooling; familiar with Airflow/Prefect/Dagster.
• Knowledge of Medallion architecture and Feature Stores.
• Data storytelling and visualization; cloud familiarity (AWS).

Data Science Engineer

Posted today

Job Description

Data Science Engineer – NLP & LLMs (Full Time | Remote)

We are seeking a Data Science Engineer with strong NLP/LLM background to build production-ready AI solutions; responsibilities include research, model development, deployment, and experimentation; remote role described.

Key Responsibilities

• Research, design, and implement advanced NLP algorithms and core ML concepts.
• Develop and deploy models with PyTorch/TensorFlow/Keras.
• Experiment to optimize accuracy and efficiency; apply prompt engineering with HuggingFace.
• Build scalable ML services with FastAPI and Kubernetes.
• Implement RAG pipelines for LLM-based applications.

Your Expertise

• Python programming; PyTorch/TensorFlow; model tuning.
• NLP fundamentals; LangChain and vector databases.
• Experience with LLMs; production-ready pipelines; cloud/containerization.
• Bonus: Computer Vision familiarity.

Preferred Qualifications

• Bachelor's or Master's in CS/AI/Data Science or related.
• Experience with MLOps and versioning tools.
• Track record delivering ML solutions in real-world use cases.

Why Join Us?

• Be part of a high-impact AI team; work on state-of-the-art LLMs and NLP systems.
• Collaborate with experts; growth and experimentation culture.

GDS Consulting_Data and Artificial Intelligence Associate Director (EY)

Posted 1 day ago

Additional EY content included in the description above covers leadership role, responsibilities, and qualifications for the Associate Director role; EY GDS Philippines, AI & Data practice leadership, client management, budget, and strategic contributions are highlighted.

Data Science Officer

Pasig City, National Capital Region

₱ - ₱

Y CreditAccess Philippines Financing Company, Inc

Posted 1 day ago

Job Description

OnePuhunan seeks a Data Science Officer to solve business challenges with data and ML; responsibilities include rapid prototyping, data processing, model deployment, dashboards, and AI solution development (NLP, recommendations, predictive analytics).

What We're Looking For

• 5+ years in data science, ML, or analytics.
• SQL, Python, and statistical modeling expertise.
• Background in Mathematics, Statistics, Economics, CS, or related fields.
• Analytical thinking and communication; proactive team player.

Data Science Associate

Posted today

Kayana

Job Description

Data Science Associate will design, develop, and deploy ML models; integrate external datasets (PSA, DOH, DOE); advance MLOps; explore Generative AI and LLMOps; mentor interns.

Key Responsibilities

• Model development and deployment; monitoring and retraining.
• Analytics, insights, data enrichment; dashboards and visualization.
• Innovation and research; collaboration across teams; mentorship.

Qualifications

• Experience developing ML models (classification, regression, clustering, forecasting).
• Python, PyTorch, TensorFlow, Hugging Face.
• MLOps (MLflow, Feast, CI/CD, monitoring).
• SQL, Databricks, Spark; cloud familiarity.
• Ethical AI and explainability knowledge.
• Bachelor's in related field; Master's preferred.

Preferred Skills

• Python, PySpark, SQL; Databricks; BI tools (Power BI, Metabase, Superset).
• Data warehouse and data lake knowledge; ML frameworks.
• Generative AI tooling (LangChain, LlamaIndex); MLOps; DataOps (Airflow, Prefect, Dagster).
• Medallion architecture and Feature Stores knowledge.
• Strong data storytelling and visualization; cloud knowledge (AWS).

Data Science Engineer

Posted today

Job Description

Data Science Engineer – NLP & LLMs (Full Time | Remote)

Reiterated description for NLP/LLMs and production ML systems; remote setup emphasized.

Key Responsibilities

• Research, design, and implement advanced NLP algorithms; core ML concepts.
• Develop and deploy models using PyTorch/TensorFlow/Keras.
• Experimental evaluation and optimization; prompt engineering with HuggingFace.
• Build scalable ML services with FastAPI and Kubernetes.
• RAG pipelines for LLM-based apps.

Your Expertise

• Python, PyTorch/TensorFlow; model tuning.
• NLP fundamentals; LangChain and vector databases.
• LLM-based apps; production pipelines; cloud/containerization.
• Bonus: Computer Vision.

Preferred Qualifications

• Bachelor's or Master's in CS/AI/DS or related.
• Experience with MLOps and versioning tools.
• History of delivering high-performing ML solutions.

Why Join Us?

• Be part of a high-impact AI team; collaborate with experts; fast-paced environment.

Data and Artificial Intelligence Associate Director (EY)

Posted 1 day ago

Data and AI leadership role at EY GDS Philippines; responsibilities include leading practice, client engagement, DA/AI strategy, and staff development.

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