75 AI Ml Engineer jobs in the Philippines

Overview:

• Role Description: This specialist will focus exclusively on the AI-powered features. They will be responsible for implementing Gemini's multimodal capabilities for document ingestion (PDFs, images), developing the AI-powered project summarization module, and fine-tuning models for accuracy.

Qualifications:

• Key Skills: Google Vertex AI, Gemini API, Python, natural language processing (NLP), experience with data extraction and summarization models.

Required Skills: Artificial Intelligence (AI) (2), API (2), Python (2), Natural Language Processing (NLP) (2) Years of Experience Needed: 3

Position Summary: The AI/ML Engineer is responsible for designing, building, and deploying AI and machine learning models that drive business value. This role requires a strong background in software engineering, a deep understanding of machine learning principles, and a passion for turning data into intelligent solutions. The ideal candidate will be a hands-on developer who can work with large datasets, optimize models for performance, and integrate AI solutions into production systems.

Key Responsibilities:

• Model Development and Deployment: Design, train, and validate machine learning models and algorithms. Deploy these models into production environments and manage their lifecycle.
• AI/ML Integration: Work with cross-functional teams (e.g., Data Engineers, DevOps) to integrate AI capabilities into existing applications and workflows.
• Data Analysis: Analyze large, complex datasets to identify patterns, evaluate model performance, and derive insights that improve AI solutions.
• Research & Innovation: Stay current with the latest advancements in AI, machine learning, and generative AI. Research new techniques and tools to enhance the company's AI capabilities.
• Performance Optimization: Optimize model performance for efficiency, scalability, and speed, ensuring solutions meet business requirements.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in developing and deploying AI and ML models in a professional setting.
• Proficiency in programming languages like Python.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services.
• Strong problem-solving and analytical skills.

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud services. Your typical day will involve collaborating with team members to design and implement production-ready solutions, applying advanced machine learning techniques, and ensuring the integration of various AI models into existing systems. You will also be responsible for troubleshooting and optimizing these applications to meet performance standards and user requirements. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Design, develop, and implement machine learning models and algorithms to solve complex problems. - Monitor and evaluate the performance of machine learning models and make necessary adjustments. - Document processes, methodologies, and results to ensure knowledge sharing within the team. - Stay updated with the latest advancements in AI and machine learning technologies to continuously improve solutions. Professional & Technical Skills: - Required Skill: Expert proficiency in Machine Learning. - Additional Good To Have Skills: Experience with Extract Transform Load (ETL), Python (Programming Language), Google BigQuery. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience in developing and deploying scalable machine learning models in cloud environments. - Proficient in data preprocessing and feature engineering techniques. - Ability to work with large datasets and perform data analysis to derive insights. Additional Information: - The candidate should have minimum 2 years of experience in Machine Learning. - This position is based at our Manila office. Minimum 2 year(s) of experience is required

It's not just about the tech; it's about the people

At Career TEAM we work to "accelerate the human condition." Working on our state-of-the-edge portal Career EDGE, you will change lives and that's just the beginning You will be working with new technologies on enterprise products that serve a diverse population across the U.S. You will truly be a full-stack engineer and be able to learn and grow at a faster pace than you can imagine. As a founding member of our newly forming team, you will grow and shape the team as we adeptly traverse this complicated digital landscape of generative AI.

To be considered for this role, you must presently reside in the Philippines.

Specifically, what you will do:

You will help build our AI platform using MongoDB and On any given day, you'll be coding (writing, reviewing, testing, deploying) because hands-on development is at the heart of what we do. You'll participate in regular Scrum ceremonies and work closely with the team to integrate AI capabilities (including LLMs, agents, and vector search) seamlessly into our application. You'll also help define our AI best practices and governance frameworks to ensure our AI usage is both effective and ethical. Innovation is our lifeblood, and you'll have the opportunity to shape our platform's direction and experiment with new ideas.

Ideal Candidate Qualifications:

• Bachelor's degree (or equivalent) in computer science, information technology, or engineering;
• 5+ years of experience developing with TypeScript stack or equivalent;
• 2+ years of experience productionizing LLMs for RAG, Agents, and Multi-Modal Systems.
• Strong analytical & problem-solving skills, effective collaboration & communication skills;
• Experience with LLM agents, fine-tuning, multi-modal models, and prompt engineering;
• Commitment to ethical AI practices and compliance with AI governance standards;
• Solid foundation in AI theory and foundational concepts, such as basic linear algebra concepts (vectors, vector spaces), dimensionality reduction techniques, and model evaluation methods.
• Familiarity with the computational complexity of vector search, tokenization, embedding generation, and large-scale model inference.
• Exposure to VSCode, Postman, GitHub, Vector Databases, and Docker;
• Exposure to building end-to-end systems optimized for speed and scale;
• Exposure to React/Next, Express/Nest, MongoDB, NodeJS, and TypeScript;
• Exposure to developing & deploying RESTful APIs.

About Career TEAM:

Founded in 1996, Career TEAM is socially conscious organization that seeks to close the nation's opportunity divide through government-funded workforce development programs designed to help individuals get the skills, knowledge, and resources needed to obtain quality employment. In addition to administering these programs, Career TEAM develops and leverages cutting-edge software tools to ignite transformative change within the workforce development industry. Career TEAM is revolutionizing the operational landscape for workforce development professionals through its Career Edge platform, which includes state-of-the-art job training tools and advanced case management systems. For more information see and

Career TEAM's outstanding record has resulted in numerous honors, including:

• Named by Inc. Magazine as one of America's 500 fastest growing privately held companies
• Recipient of the US Chamber of Commerce Blue Chip Enterprise Award for innovation
• Featured by 60 Minutes, CNN, Money Magazine, Inc. Magazine and the British Broadcasting Network as an innovative, government funded solutions program
• Invited to the White House after being cited by the National Welfare-to-Work Partnership and National Alliance of Business as a top 10 US training provider

Career Team is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Background Check Requirements. Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for the position.

It's not just about the tech; it's about the people

At Career TEAM we work to "accelerate the human condition." Working on our state-of-the-edge portal Career EDGE, you will change lives and that's just the beginning You will be working with new technologies on enterprise products that serve a diverse population across the U.S. You will truly be a full-stack engineer and be able to learn and grow at a faster pace than you can imagine. As a founding member of our newly forming team, you will grow and shape the team as we adeptly traverse this complicated digital landscape of generative AI.

To be considered for this role, you must presently reside in the Philippines.

Specifically, what you will do:

You will help build our AI platform using MongoDB and On any given day, you'll be coding (writing, reviewing, testing, deploying) because hands-on development is at the heart of what we do. You'll participate in regular Scrum ceremonies and work closely with the team to integrate AI capabilities (including LLMs, agents, and vector search) seamlessly into our application. You'll also help define our AI best practices and governance frameworks to ensure our AI usage is both effective and ethical. Innovation is our lifeblood, and you'll have the opportunity to shape our platform's direction and experiment with new ideas.

Ideal Candidate Qualifications:

• Bachelor's degree (or equivalent) in computer science, information technology, or engineering;
• 5+ years of experience developing with TypeScript stack or equivalent;
• 2+ years of experience productionizing LLMs for RAG, Agents, and Multi-Modal Systems.
• Strong analytical & problem-solving skills, effective collaboration & communication skills;
• Experience with LLM agents, fine-tuning, multi-modal models, and prompt engineering;
• Commitment to ethical AI practices and compliance with AI governance standards;
• Solid foundation in AI theory and foundational concepts, such as basic linear algebra concepts (vectors, vector spaces), dimensionality reduction techniques, and model evaluation methods.
• Familiarity with the computational complexity of vector search, tokenization, embedding generation, and large-scale model inference.
• Exposure to VSCode, Postman, GitHub, Vector Databases, and Docker;
• Exposure to building end-to-end systems optimized for speed and scale;
• Exposure to React/Next, Express/Nest, MongoDB, NodeJS, and TypeScript;
• Exposure to developing & deploying RESTful APIs.

About Career TEAM:

Founded in 1996, Career TEAM is socially conscious organization that seeks to close the nation's opportunity divide through government-funded workforce development programs designed to help individuals get the skills, knowledge, and resources needed to obtain quality employment. In addition to administering these programs, Career TEAM develops and leverages cutting-edge software tools to ignite transformative change within the workforce development industry. Career TEAM is revolutionizing the operational landscape for workforce development professionals through its Career Edge platform, which includes state-of-the-art job training tools and advanced case management systems. For more information see and

Career TEAM's outstanding record has resulted in numerous honors, including:

• Named by Inc. Magazine as one of America's 500 fastest growing privately held companies
• Recipient of the US Chamber of Commerce Blue Chip Enterprise Award for innovation
• Featured by 60 Minutes, CNN, Money Magazine, Inc. Magazine and the British Broadcasting Network as an innovative, government funded solutions program
• Invited to the White House after being cited by the National Welfare-to-Work Partnership and National Alliance of Business as a top 10 US training provider

Career Team is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Background Check Requirements. Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for the position.

ABOUT DXC

DXC Technology is a Fortune 500 Global IT Services Leader and is ranked at 152. Our more than 130,000 people in 70-plus countries are entrusted by our customers to deliver what matters most. We use the power of technology to deliver mission critical IT services that transform global businesses. We deliver excellence for our customers, colleagues and communities around the world.

Accelerate your career and reimagine the possibilities with DXC

We inspire and take care of our people. Work in a culture that encourages innovation and where brilliant people embrace change and seize opportunities to advance their careers and amplify customer success. Leverage technology skills and deep industry knowledge to help clients. Work on transformation programs that modernize operations and drive innovation across our customer's entire IT estate using the latest technologies in cloud, applications, security, IT Outsourcing, business process outsourcing and modern workplace.

SMART FIRST MESSAGING

"At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive."

DXCSMARTFirst

JOB DESCRIPTION

Project Description:

Strategic & Leadership Responsibilities

• Lead end-to-end data science projects from problem definition to deployment and monitoring.
• Business Analysis: Translate business challenges into data science problems and propose optimal solutions.
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and experimentation.
• Collaborate with stakeholders aligning data science initiatives with strategic goals.
• Provides advisory and consultation services to determine the right solution
• Participates in Technical/Work product Reviews
• Contributes to knowledge tools and communities, and ensures project learnings are documented and shared.
• Knowledge sharing and re-use within practice or profession.
• Mentors junior team members, providing technical assistance and constructive feedback.

Responsibilities:

Technical Responsibilities

• Design, develop, and validate predictive models, classification algorithms, and other data science assets using statistical and machine learning techniques.
• Perform exploratory data analysis, feature engineering, and model tuning to improve performance.
• Build scalable data pipelines and integrate models into production environments in collaboration with data engineering and MLOps teams.
• Evaluate model performance using appropriate metrics and ensure robustness, fairness, and explainability.
• Stay current with advancements in AI/ML and recommend adoption of relevant technologies and methodologies.

Operational Responsibilities

• Document methodologies, workflows, and model assumptions for transparency and reproducibility.
• Ensure compliance with data governance, privacy, and ethical AI standards.

Mandatory Skills Description:

Education and Experience:

• 5+ years of professional experience as a Data Scientist/ AI/ML Engineer and a Bachelor of Arts/Science or equivalent degree in computer science or related area of study; without a degree, three additional years of relevant professional experience (8+ years in total).
• Proven track record of delivering impactful data science solutions in enterprise environments.
• Experience working with large-scale structured and unstructured data.

Technical Skills:

• Proficiency in Python, R, SQL, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Strong understanding of statistical modeling, machine learning, deep learning, NLP, GenAI
• Experience with cloud platforms (Preferred: Azure, GCP, AWS ) specifically cloud-based AI/ML tools and containerization tools (Docker, Kubernetes).
• Experience with LLMs, RAG, LangChain, Generative AI
• Knowledge of data visualization tools (Power BI, Tableau, Plotly).
• Familiarity with MLOps practices and tools (MLflow, Airflow, CI/CD pipelines).

Soft Skills:

• Strong problem-solving and critical thinking abilities.
• Ability to manage multiple projects and prioritize effectively.
• Collaborative mindset with a proactive approach to stakeholder engagement.
• Excellent communication and storytelling skills to convey complex insights to non-technical stakeholders.
• Strong time management practice, able to prioritize project demands within the allocated time.
• Champion of continuous learning

Preferred Certifications:

• Microsoft Certified: Azure Data Scientist Associate or Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning

Languages:

• English: C1 Advanced

What awaits you in DXC:

• Health Insurance (HMO) for you and dependents upon hiring
• Life Insurance coverage from day 1 of employment
• Days' Vacation and 15 Days Sick Leave
• Expanded maternity leave up to 120 days and Maternity Benefits
• Expanded paternity leave up to 30 days
• Non-Taxable Allowance (De-minimis)
• Company-sponsored trainings upskilling, and certification
• SMART First Working Arrangements
• Healthy and Encouraging Work Environment
• Recognition and Pay for Performance Culture
• Supplemental Pay (Standby/Shift)
• Retirement Program
• Employee Assistance Program

If you are motivated to deliver excellent results, want to grow your career and make a difference, come join us.

We are DXC.

• Job portal
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PhD fellowship in Trustworthy Natural Language Processing

Department of Computer Science
Faculty of SCIENCE
University of Copenhagen
The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD fellowship in Trustworthy Natural Language Processing.

Start date is (expected to be) 1st March 2026 or as soon as possible thereafter.

The position
The PhD fellowship is offered with Pepa Atanasova as the main project supervisor, and will be co-supervised by Isabelle Augenstein. The successful candidate will engage in developing innovative methods for
trustworthy NLP models, including but not limited to mechanistic interpretability, explainability, reasoning, factuality, safety mechanisms, and practical applications of trustworthy AI
. The research will broadly align with the objectives of the CopeNLU research group and more specifically with the research interests of the main project supervisor. The overall focus of the PhD will be on trustworthy NLP models, with the specific research direction to be tailored in collaboration with the candidate to align their interests and the group's research goals. The candidate will join a vibrant research team that includes collaborators from CopeNLU and other international partners, fostering a dynamic and interdisciplinary environment conductive to impactful research.

Note:
Candidates with interests in multi-modal AI and/or multi-lingual/cultural NLP should instead explore the profiles of other faculty members in the NLP section at the University of Copenhagen for potential opportunities.

Whom are we looking for?
Applicants should hold a MSc degree or equivalent in Computer Science or a related field, and have good written and oral English skills. The assessment of your qualifications will also be made based on previous scientific publications (if any) and relevant work experience. The ideal candidate would have
an education background, prior research or work experience in ML or NLP
.

Our group and research- and what do we offer?
The successful candidate will join the CopeNLU group at the University of Copenhagen. CopeNLU is a vibrant and collaborative research group led by Isabelle Augenstein and Pepa Atanasova with a focus on researching methods for tasks that require a deep understanding of language, as opposed to shallow processing. We are interested in core methodology research on, among others, learning with limited training data, interpretable and explainable AI; as well as applications thereof to tasks such as fact checking and question answering. With a strong focus on both foundational and applied research, we provide a platform for exploring cutting-edge topics in NLP, while also emphasizing the importance of transparent and responsible AI development.

We are affiliated with the Natural Language Processing Section in the Department of Computer Science, Faculty of SCIENCE, University of Copenhagen, as well as with the Pioneer Centre for AI, at the Department of Computer Science, University of Copenhagen. The group is currently co-located with the Pioneer Centre for AI in central Copenhagen. The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing. The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked top-3 in Europe according to CSRankings. Further information about research at the Department is available here: .

Principal supervisor
is
Prof. Isabelle Augenstein, Department of Computer Science, email:

, main project supervisor is Pepa Atanasova, email:

.
The PhD programme
You Can Undertake The PhD Programme As
A
three year full-time study
within the framework of
the regular PhD programme
(5+3 scheme),
if you already
have an education
equivalent to a relevant Danish master's degree.
Getting into a position on the regular PhD programme
Qualifications Needed For The Regular Programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master's degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the position, i.e. NLP and ML. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific position formulated by the applicant.

Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. The position is covered by the Protocol on Job Structure.

Responsibilities
and tasks in the PhD programme

• Define and develop a PhD research topic within trustworthy NLP
• Carry through an independent research project under supervision
• Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
• Participate in active research environments, including a stay at another research institution, preferably abroad
• Teaching and knowledge dissemination activities
• Write scientific papers aimed at high-impact venues
• Present research findings at international conferences and workshops
• Write and defend a PhD thesis on the basis of your project

We Are Looking For The Following Qualifications

• Professional qualifications relevant to the PhD position
• Relevant publications
• Relevant education background
• Relevant work experience
• Other relevant professional activities
• Curious mindset with a strong interest in trustworthy NLP
• Good language skills

Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please Include

• Cover Letter detailing your motivation and background for applying for this PhD position.
• Research Statement detailing your desired research focus and goals for the PhD studies within the scope of the specified position. The research statement should demonstrate your independent thinking by outlining a concrete research direction(s) within trustworthy NLP you wish to explore, including: specific research questions you aim to address, preliminary ideas on methodological approaches you would employ, connection to existing literature, and the potential impact and applications.
• Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position.
• Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
• Publication list (if possible).
• Reference letters (if available; alternatively, reference letters can submitted directly to for shortlisted candidates, at the latest one week after being informed about the shortlisting).

Application Deadline
The deadline for applications is
31 October 2025
, 23:59 GMT +1
.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process
After the deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.

The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at

Interviews with selected candidates are expected to be held in week

Questions
For specific information about the PhD fellowship, please contact .

General information about PhD study at the Faculty of SCIENCE is available at the PhD School's website:

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

Contact

Pepa Kostadinova Atanasova
E-mail:

Info

Application deadline:

Employment start:

Department/Location:
Department of Computer Science

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