108 Ml Engineer jobs in the Philippines

Position Overview

The Blockchain & Machine Learning Engineer is responsible for developing, integrating, and maintaining blockchain-based applications while leveraging machine learning algorithms to optimize processes, analyze data, and create intelligent solutions. This hybrid role combines expertise in distributed ledger technologies with advanced data science and AI techniques to deliver innovative, secure, and scalable products.

Key ResponsibilitiesBlockchain Development

• Design, develop, and deploy smart contracts and decentralized applications (dApps) on platforms such as Ethereum, Hyperledger, or Polygon.
• Implement blockchain-based solutions for supply chain, finance, identity, and data integrity use cases.
• Ensure blockchain networks are secure, scalable, and optimized for performance.
• Work with cryptographic algorithms, consensus protocols (PoS, PoW, PBFT), and token standards (ERC-20, ERC-721, ERC-1155).
• Integrate blockchain with APIs, databases, and enterprise systems.

Machine Learning & AI

• Design and train ML models for predictive analytics, NLP, computer vision, or recommendation systems depending on project requirements.
• Implement supervised, unsupervised, and reinforcement learning models using TensorFlow, PyTorch, or Scikit-learn.
• Develop AI algorithms for fraud detection, blockchain transaction analysis, and automated decision-making.
• Optimize ML models for performance and scalability in production environments.
• Work with large datasets, data preprocessing, feature engineering, and MLOps pipelines.

Cross-functional & Innovation

• Collaborate with product managers, data engineers, and backend teams to integrate blockchain and ML features into enterprise-grade applications.
• Stay updated on emerging Web3 trends, Generative AI, and ML advancements.
• Research and prototype novel applications of AI within blockchain (e.g., AI-driven smart contracts, decentralized AI marketplaces).
• Document solutions, conduct code reviews, and ensure compliance with industry standards and best practices.

Required Skills & Competencies

Technical Skills

• Strong programming skills: Python, Solidity, JavaScript/TypeScript, Go, Rust.
• Proficiency in ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.
• Blockchain platforms: Ethereum, Hyperledger, Binance Smart Chain, Polygon, Solana.
• Cryptography: hashing, digital signatures, encryption methods.
• Data engineering tools: SQL, NoSQL, Spark, Hadoop.
• Cloud & DevOps: AWS/GCP/Azure, Docker, Kubernetes, CI/CD pipelines.

Soft Skills

• Strong problem-solving and analytical mindset.
• Ability to work in a fast-paced, innovation-driven environment.
• Good communication for cross-team collaboration.
• Research-oriented and self-driven to explore emerging technologies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• 3–6+ years of hands-on experience in blockchain development and machine learning.
• Relevant certifications are a plus:
• Blockchain: Ethereum Developer, Hyperledger Fabric, ConsenSys Certified Developer
• ML/AI: TensorFlow Developer, AWS Machine Learning Specialty, Google AI certifications

KPIs / Success Metrics

• Successful deployment of blockchain applications with minimal defects.
• Accuracy, efficiency, and scalability of ML models in production.
• Reduction in transaction costs, latency, and errors through optimized blockchain + AI solutions.
• Innovation delivered (e.g., patents, prototypes, or product features).
• Contribution to system uptime, performance, and security compliance.

Career Path & Growth

This role can grow into:

• Blockchain Architect (specializing in Web3 infrastructure).
• AI/ML Architect (focusing on enterprise AI strategies).
• Chief Technology Officer (CTO) for startups in AI/blockchain.
• Research Scientist in AI-Blockchain convergence.

Job Type: Full-time

Work Location: On the road

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

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.

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.

Qualifications & Experience
:

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
• Proven track record of delivering impactful data science solutions in enterprise environments.

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

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.

SwissPine Tech is seeking a highly experienced Machine Learning Engineer with a track record of developing complex, high-impact software products. Someone who can thrive at the intersection of cutting-edge technology and real-world value creation. A hands-on expert to architect, build, and operationalize the AI-driven systems that deliver tangible business value.

As a Senior ML Engineer, you will be a pivotal part of our strategic initiative to develop data-driven software. This role combines deep technical execution with cross-functional collaboration, bridging the gap between data science, software engineering, and our data platform. If you're ready to shape strategy, architect scalable systems, and be part of advanced AI initiatives from concept to production, this is your opportunity to develop, influence, and deliver at scale. You'll be stepping into a company that prioritizes technical excellence, trust, and innovation, where you won't just be applying AI—you'll be influencing where it goes next.

Key Responsibilities

• Translate & Strategize: Act as the bridge between data science and strategy, translating complex technical solutions into measurable business outcomes.
• Integrate & Innovate: Partner closely with key stakeholders to embed AI into the core of our products and services.
• Own MLOps: Take full responsibility for our MLOps infrastructure, enabling the team to efficiently develop, test, deploy, monitor, and retrain AI models.
• Deliver via APIs: Design, develop, and maintain robust and scalable APIs that allow other internal and external applications to utilize our AI solutions.
• Build the Foundation: Contribute actively to our data platform, from data collection and processing to surfacing valuable information that enables the development of AI models.
• Stay Ahead of the Curve: Champion the adoption of emerging technologies, methodologies, and best practices in AI, data science, and optimization.
• Mentor & Lead: Lead by example by mentoring other data scientists and data engineers, helping to foster a collaborative, high-performance culture.

Must-Have Skills:

• Education & Experience: Master's (or higher) in CS/EE/Math/Stats or equivalent experience; 5+ years in ML/Data/Platform roles shipping AI systems to production (not just notebooks).
• Python engineering: Strong software fundamentals (testing with pytest, packaging, typing), ML frameworks (e.g., PyTorch or TensorFlow), and data stacks (Pandas/NumPy).
• MLOps & Cloud: CI/CD for ML (GitHub Actions/GitLab/Azure DevOps), experiment tracking & model registry (e.g., MLflow/W&B), containerization (Docker) and orchestration (Kubernetes), with hands-on experience on AWS/Azure/GCP.
  A Master's degree or higher in Computer Science, Data Science, Engineering, or a related quantitative field.
• 5+ years of relevant experience in machine learning, data science, and/or data engineering with a proven track record of developing services in the cloud.
• Demonstrated experience delivering end-to-end AI systems into production, moving beyond theoretical models in notebooks to solve complex, real-world problems.
• A solid grasp of DevOps and MLOps best practices, including CI/CD for models, automated monitoring, retraining pipelines, and version control.
• Expert-level Python development skills with experience in building production-grade applications.
• Strong background in API development and integration.

Nice-to-Have Experience

:

• Experience with a major cloud platform (Azure, AWS, or GCP).
• Familiarity with container technologies like Docker and orchestration tools like Kubernetes.
• Previous experience in a consulting or client-facing role, translating business needs into technical solutions.
• A passion for collaborative problem-solving and knowledge-sharing within a team.

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

SwissPine Tech is seeking a highly experienced Machine Learning Engineer with a track record of developing complex, high-impact software products. Someone who can thrive at the intersection of cutting-edge technology and real-world value creation. A hands-on expert to architect, build, and operationalize the AI-driven systems that deliver tangible business value.

As a Senior ML Engineer, you will be a pivotal part of our strategic initiative to develop data-driven software. This role combines deep technical execution with cross-functional collaboration, bridging the gap between data science, software engineering, and our data platform. If you're ready to shape strategy, architect scalable systems, and be part of advanced AI initiatives from concept to production, this is your opportunity to develop, influence, and deliver at scale. You'll be stepping into a company that prioritizes technical excellence, trust, and innovation, where you won't just be applying AI—you'll be influencing where it goes next.

Key Responsibilities

• Translate & Strategize: Act as the bridge between data science and strategy, translating complex technical solutions into measurable business outcomes.
• Integrate & Innovate: Partner closely with key stakeholders to embed AI into the core of our products and services.
• Own MLOps: Take full responsibility for our MLOps infrastructure, enabling the team to efficiently develop, test, deploy, monitor, and retrain AI models.
• Deliver via APIs: Design, develop, and maintain robust and scalable APIs that allow other internal and external applications to utilize our AI solutions.
• Build the Foundation: Contribute actively to our data platform, from data collection and processing to surfacing valuable information that enables the development of AI models.
• Stay Ahead of the Curve: Champion the adoption of emerging technologies, methodologies, and best practices in AI, data science, and optimization.
• Mentor & Lead: Lead by example by mentoring other data scientists and data engineers, helping to foster a collaborative, high-performance culture.

Must-Have Skills:

• Education & Experience: Master's (or higher) in CS/EE/Math/Stats or equivalent experience; 5+ years in ML/Data/Platform roles shipping AI systems to production (not just notebooks).
• Python engineering: Strong software fundamentals (testing with pytest, packaging, typing), ML frameworks (e.g., PyTorch or TensorFlow), and data stacks (Pandas/NumPy).
• MLOps & Cloud: CI/CD for ML (GitHub Actions/GitLab/Azure DevOps), experiment tracking & model registry (e.g., MLflow/W&B), containerization (Docker) and orchestration (Kubernetes), with hands-on experience on AWS/Azure/GCP.A Master's degree or higher in Computer Science, Data Science, Engineering, or a related quantitative field.
• 5+ years of relevant experience in machine learning, data science, and/or data engineering with a proven track record of developing services in the cloud.
• Demonstrated experience delivering end-to-end AI systems into production, moving beyond theoretical models in notebooks to solve complex, real-world problems.
• A solid grasp of DevOps and MLOps best practices, including CI/CD for models, automated monitoring, retraining pipelines, and version control.
• Expert-level Python development skills with experience in building production-grade applications.
• Strong background in API development and integration.

Nice-to-Have Experience:

• Experience with a major cloud platform (Azure, AWS, or GCP).
• Familiarity with container technologies like Docker and orchestration tools like Kubernetes.
• Previous experience in a consulting or client-facing role, translating business needs into technical solutions.
• A passion for collaborative problem-solving and knowledge-sharing within a team.

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.