81 Machine Learning Manager jobs in the Philippines

Founded in 1994 and headquartered in Switzerland,
ERNI
is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team.

Why ERNI is the Perfect Place for You:

• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.

Perks And Benefits

• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Wedding Gift: To celebrate your special day.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.

Growth And Opportunities

• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,

Finance, and Transportation.

• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and

opportunities for promotion.

• Open Communication: Experience transparency and value your input in our culture.

Flexibility

• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.

Events

• Connect and Celebrate: Participate in a variety of events including leisure, summer,

family, social, and year-end gatherings.

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

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

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

Preferred Qualifications

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

Soft Skills

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

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

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

Model Lifecycle & MLOps

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

Data Governance & Compliance

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

Deployment & Monitoring

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

CI/CD & Infrastructure

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

Collaboration & Documentation

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

Switzerland

• Germany
• Spain
• Slovakia
• Romania
• Philippines
• Singapore
• USA

ERNI Development Center Philippines Inc.
, 9th Floor, Lica Malls Shaw, 500 Shaw Boulevard, 1555, Mandaluyong City, Philippines

| |
We deliberately focus on what we know best.

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

What You'll Do

Domain‑Driven Model Development

• Lead end‑to‑end ML projects (predictive maintenance, golden‑batch optimization, fault‑detection) in manufacturing, energy, water and building contexts.

Data Engineering & Feature Work

• Ingest and preprocess time‑series sensor, PLC, and historian data.
• Engineer features for equipment health, process stability ("golden batch" profiles), energy/water efficiency.

Modeling & Deployment

• Build and validate models (classification/regression) using scikit‑learn, TensorFlow/PyTorch.
• Containerize and serve via TensorFlow Serving, ONNX Runtime or equivalent. Monitor model drift and retrain pipelines in production.

Cross‑Functional Collaboration

• Design and document APIs, message‑queue integrations (Kafka/RabbitMQ) for downstream apps.

Must‑Have Qualifications

Deep Industry Experience

• 3+ years in Manufacturing or relevant roles in Energy, Water or Building Automation.
• Hands‑on understanding of shop‑floor processes, PLC data, preventive vs. predictive maintenance.

ML Fundamentals

• Solid grasp of backpropagation, F1‑score vs. confusion‑matrix trade‑offs, over/under‑sampling.

Software & Data Skills

• Python: threading, async, type‑hints; familiar with pandas, NumPy.
• SQL: complex JOINs, GROUP BY, window functions.
• APIs & Queues: REST/gRPC design, Kafka or RabbitMQ.·

Deployment Frameworks

Experience with TensorFlow Serving or ONNX Runtime on Kubernetes or edge‑devices.

Bonus

• Computer Vision: OpenCV, image‑processing pipelines for visual inspection.
• Edge AI: Raspberry Pi, Jetson Nano or similar—optimizing models for constrained hardware.

What We're Looking For

• Domain‑First Mindset: You know that real impact comes from marrying hands‑on equipment knowledge with ML, not just toy datasets.
• Fast Learner: You'll upskill on new algorithms and tools via online courses and documentation—nothing holds you back.
• Collaborative Communicator: You can translate between data science jargon and operations speak.
• Product‑Obsessed: You see every ML experiment as a step toward a tangible solution for our clients.

Job Types: Full-time, Permanent

Benefits:

• Company Christmas gift
• Company events
• Flexible schedule
• Flextime
• Health insurance
• Life insurance
• Paid training
• Promotion to permanent employee

Work Location: In person

Position Title: Machine Learning Engineer

Salary: Open for discussion/negotiation

Mandatory Qualifications:

• Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.
• 5+ years of experience in machine learning, data science, or a related field.
• Strong proficiency in programming languages such as Python, R, or Java.
• Extensive experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Proven track record of designing and deploying machine learning models in a production environment.
• Solid understanding of statistical methods, data analysis, and data preprocessing techniques.
• Experience with big data technologies and tools such as Hadoop, Spark, or similar.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
• Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning is a plus.

Desired Qualifications:

- Experience in Financial institution or Fintech company data analytics

- Publications or contributions to the machine learning community or production experience of product launch.

- Experience with ML Ops practices and tools.

Job Types: Full-time, Permanent

Work Location: In person

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

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

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

Key Responsibilities

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

Our Ideal Candidate
Skills & Experience

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

Qualification

• Relevant degree qualification preferred

Role Specific Technical Competencies

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

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

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

Together We

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

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

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

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

Visit our careers website

About Penbrothers

Penbrothers is an HR & remote talent management partner and one of the fastest-growing companies in the Philippines. We provide talented Filipinos with global opportunities in high-growth startups and dynamic companies, from the comfort of their own homes.

About the Client

Our client is a dynamic AI transformation firm dedicated to helping businesses leverage the power of artificial intelligence to redefine their future. They partner with organizations to navigate the complexities of AI adoption, from strategy and data architecture to implementation, enabling automation of routine tasks and unlocking new opportunities for growth and innovation.

About the Role

As a Machine Learning Specialist you will be responsible for developing, training, and deploying machine learning models. The role will focus on applying ML techniques to solve business problems, improve processes, and enhance data driven decision making of the business.

• Design, develop, and deploy machine learning models for production use
• Process and analyze structured and unstructured datasets
• Conduct model training, testing, and evaluation
• Collaborate with the data engineering team to integrate ML solutions into applications and pipelines
• Monitor model performance as needed
• Document ML processes, workflows, and model outputs

What You Bring

• 2+ years of experience in machine learning or data science
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch)
• Solid understanding of supervised and unsupervised learning methods
• Experience with data preprocessing, feature engineering, and model evaluation
• Familiarity with cloud ML platforms (AWS,, Azure ML, GCP AI Platform)
• Strong knowledge of SQL and experience handling large datasets

Hiring Process

We utilize AI tools to enhance our hiring efficiency and ensure a fair evaluation of all candidates. As a result, candidates who passed our initial evaluations should expect an AI Interviewer as a component of our recruitment process. This is supervised by Human Talent Acquisition Experts who will also engage with you throughout your application journey.

Don't meet every single requirement? At Penbrothers we are committed to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but you don't feel 100% aligned with the qualifications, we encourage you to apply anyway. You may just be the right fit for this or other roles.

What You'll Get

At Penbrothers, we are obsessed with creating positive employee experiences. Here you'll find an environment that nurtures learning and provides opportunities for growth. You'll have the opportunity to make an impact on fast-growing startups and dynamic companies.

• Meaningful work & Growth: We take every opportunity to stretch ourselves and deliver an excellent client experience.
• Employee as our biggest asset: We are genuinely invested in our people's career and welfare.
• Global reach & local impact: Get to work with high-growth startups and dynamic companies from the comfort of your own home.
• Powering global startups: We've created 1,400 Filipino jobs that empower global start-ups to focus on growth.

Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team.

Why ERNI is the Perfect Place for You:

• International Exposure: Work with global clients on cutting-edge projects.
• Inclusive Culture: Thrive in a collaborative and diverse work environment.
• Career Development: Enjoy continuous learning and professional growth opportunities.

Perks and Benefits:

• Career Stability: Enjoy a stable career path with ample project opportunities.
• Immediate Coverage: Private HMO and insurance benefits from day one.
• Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites.
• Comprehensive Benefits: Government-mandated benefits including 13th-month pay.
• Skill Enhancement: Access free training and certifications.
• Wedding Gift: To celebrate your special day.
• Baby Basket: To welcome your newborn to the ERNI family.
• Fruit Basket: Boost of vitamins during hospitalization.
• Office Perks: Enjoy free snacks and coffee.

Growth and Opportunities:

• Free Training: Advance your skills through technical and non-technical training.
• Challenging Projects: Engage in complex software projects across MedTech, Industry,

Finance, and Transportation.

• Supportive Environment: Benefit from a team dedicated to guiding and supporting your success.
• Recognition and Advancement: Receive acknowledgment for your efforts and

opportunities for promotion.

• Open Communication: Experience transparency and value your input in our culture.

Flexibility:

• Hybrid Work Setup: Balance remote and in-person work for better work-life integration.

Events:

• Connect and Celebrate: Participate in a variety of events including leisure, summer,

family, social, and year-end gatherings.

What are our wishes:

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

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

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

Preferred Qualifications

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

Soft Skills

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

How can you contribute to the team?

Platform & Pipeline Development

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

Model Lifecycle & MLOps

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

Data Governance & Compliance

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

Deployment & Monitoring

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

CI/CD & Infrastructure

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

Collaboration & Documentation

• Partner with data scientists to productionize research prototypes.

• Document workflows, governance processes, and best practices for ongoing maintainability.

Switzerland · Germany · Spain · Slovakia · Romania · Philippines · Singapore · USA

ERNI Development Center Philippines Inc., 9th Floor, Lica Malls Shaw, 500 Shaw Boulevard, 1555, Mandaluyong City, Philippines

| |

About Penbrothers

Penbrothers is an HR & remote talent management partner and one of the fastest-growing companies in the Philippines. We provide talented Filipinos with global opportunities in high-growth startups and dynamic companies, from the comfort of their own homes.

About the Client

Our client is a dynamic AI transformation firm dedicated to helping businesses leverage the power of artificial intelligence to redefine their future. They partner with organizations to navigate the complexities of AI adoption, from strategy and data architecture to implementation, enabling automation of routine tasks and unlocking new opportunities for growth and innovation.

About the Role

As a Machine Learning Specialist you will be responsible for developing, training, and deploying machine learning models. The role will focus on applying ML techniques to solve business problems, improve processes, and enhance data driven decision making of the business.

• Design, develop, and deploy machine learning models for production use
• Process and analyze structured and unstructured datasets
• Conduct model training, testing, and evaluation
• Collaborate with the data engineering team to integrate ML solutions into applications and pipelines
• Monitor model performance as needed
• Document ML processes, workflows, and model outputs

What You Bring

• 2+ years of experience in machine learning or data science
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch)
• Solid understanding of supervised and unsupervised learning methods
• Experience with data preprocessing, feature engineering, and model evaluation
• Familiarity with cloud ML platforms (AWS,, Azure ML, GCP AI Platform)
• Strong knowledge of SQL and experience handling large datasets

Hiring Process

We utilize AI tools to enhance our hiring efficiency and ensure a fair evaluation of all candidates. As a result, candidates who passed our initial evaluations should expect an AI Interviewer as a component of our recruitment process. This is supervised by Human Talent Acquisition Experts who will also engage with you throughout your application journey.

Don't meet every single requirement? At Penbrothers we are committed to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but you don't feel 100% aligned with the qualifications, we encourage you to apply anyway. You may just be the right fit for this or other roles.

What You'll Get

At Penbrothers, we are obsessed with creating positive employee experiences. Here you'll find an environment that nurtures learning and provides opportunities for growth. You'll have the opportunity to make an impact on fast-growing startups and dynamic companies.

• Meaningful work & Growth: We take every opportunity to stretch ourselves and deliver an excellent client experience.
• Employee as our biggest asset: We are genuinely invested in our people's career and welfare.
• Global reach & local impact: Get to work with high-growth startups and dynamic companies from the comfort of your own home.
• Powering global startups: We've created 1,400 Filipino jobs that empower global start-ups to focus on growth.

About Us

We're a fast-moving startup on a mission to revolutionize the call centre industry using the power of AI and Large Language Models. We're building intelligent systemsto enhance customer experience, supercharge agent performance, and drive operational excellence.

Through advanced conversational AI, we build systems that understand, adapt, and evolve with every conversation. Our platform powers decision-support tools and intelligent virtual agents helping call centers deliver faster, smarter, and more human customer service—where every interaction matters.

As an ML Engineer, you'll design, train, and deploy models that not only empower better decisions and agent experiences—but also power the core intelligence behind real-time conversations. If you're a self-starter with a passion for deploying ML at scale and know how to get your hands dirty with LLMs, we want you on our founding team.

What You'll Do

• Design, build, and deploy ML pipelines and LLM-powered applications from scratch.
• Fine-tune, prompt, and integrate state-of-the-art LLMs (e.g., OpenAI, LLaMA, Mistral).
• Apply advanced techniques like retrieval-augmented generation (RAG), tool use, and embedding search.
• Collaborate with product and engineering to build AI-driven features for real-world call centre use cases (e.g., agent coaching, auto summarization, sentiment analysis).
• Own experiments end-to-end — from hypothesis to deployment — with minimal supervision.
• Optimize model inference (latency, memory) for production-scale workloads.
• Set up scalable infrastructure for model training, evaluation, and continuous improvement.
• Help shape our ML/AI roadmap and contribute to technical strategy.

What We're Looking For

• 3+ years of experience as an ML Engineer
• Deep expertise in NLP and LLMs (e.g., transformers, LoRA, vector search, prompt engineering).
• Strong Python skills and hands-on experience with frameworks like Hugging Face Transformers, LangChain, OpenAI, PyTorch.
• Experience deploying ML models in production (e.g., APIs, containers, cloud-based services).
• Comfort working in early-stage/startup environments — fast pace, lots of ambiguity, high impact.
• Ability to work autonomously and make product-informed decisions with minimal oversight.

Bonus Points For

• Experience in or knowledge of the call centre / contact centre space.
• Familiarity with voice-to-text models, real-time analytics, or conversation intelligence.
• MLOps experience (e.g., model versioning, monitoring, CI/CD).
• Prior experience with vector databases (e.g., FAISS, Pinecone, Weaviate).

Why Join Us?

• Be part of a mission-driven startup from the ground up.
• Shape the future of AI in a high-impact, real-world industry.
• Work remotely with flexibility and autonomy.
• Competitive compensation

Job Type: Full-time

Work Location: Remote

ADEC Innovation
 is a global, purpose-driven business solutions organization that specializes in integrating business process solutions with sustainability and environmental management. With a history spanning over three decades, the company was founded in Manila, Philippines, in 1996 and has since expanded its footprint to six continents with a workforce of over 5,000 associates. ADEC Innovation is driven by a mission to advance sustainable business and operational practices by transforming information into knowledge and reshaping risk into positive impact and value for its clients.

We are looking for 
OCR Processor (Machine Learning)
 to join our growing team

Basic Qualification:

• Graduate of BS in Computer Science, Information Technology, or any related related field
• Must have at least 1 year of work experience in a relevant or related role/capacity; experience with OCR technologies and machine learning-driven data extraction is considered an advantage
• Must be amenable to work onsite in Alabang, Muntinlupa on a shifting schedule

Duties and Responsibilities:

Processing:

• Review and upload vendor files into the OCR software to generate output files for daily uploads into Expense Logic.
• Identify and report EL Mapping or Customer Mapping issues to the IT team. Address OCR software-related issues with the team on a daily basis.
• Maintain a daily log of processed invoices, issues encountered, and monthly averages; report findings to leadership.

Integration with Applications:

• Integrate OCR solutions with existing systems to automate data extraction workflows.
• Collaborate with software developers to ensure smooth and efficient integration of OCR functionalities.

Training and Testing:

• Tag and train the OCR model using machine learning techniques to improve recognition accuracy.
• Conduct thorough testing and validation of OCR files to ensure high precision and recall rates.

Customization and Configuration:

• Customize OCR solutions to meet specific project requirements and support various document formats.
• Configure OCR parameters for optimal performance across different use cases.

Performance Optimization:

• Enhance OCR performance, scalability, and resource efficiency.
• Implement parallel processing and other optimization techniques to improve processing speed.

Documentation:

• Create and maintain detailed documentation for OCR algorithms, configurations, and integration procedures.
• Provide clear documentation for troubleshooting and support purposes.

What's in it for you?

• Competitive salary package
• Life Insurance on Day 1
• HMO with free dependent*
• Paid leave credits*