NCS Philippines, in partnership with Globe and part of the NCS Group, a leading Asia-Pacific technology services firm and subsidiary of the Singtel Group, is a workplace where people and innovation come together to create meaningful impact. 

Employees at NCS Philippines work on a wide range of projects across digital, data, cloud, platforms, and cybersecurity, supporting enterprises and government agencies in solving real-world challenges. With access to NCS’ regional network of over 15,000 professionals across 55 specialisations, teams gain valuable exposure to global best practices while contributing to local impact. 

The company fosters a culture rooted in collaboration, continuous learning, and growth. Employees are empowered to expand their capabilities, explore emerging technologies, and build solutions that go beyond technical delivery – creating tangible value for clients and communities. 
Through strong partnerships, a diverse talent base, and opportunities for regional collaboration, NCS Philippines enables their people to grow their careers while being part of something bigger: advancing communities through technology and shaping the future of digital innovation.



NCS Philippines Inc. 

We are seeking a Senior Data Architect to design, govern, and evolve our enterprise data landscape with a strong focus on modern data lakehouse architecture. This role is responsible for building scalable, secure, and analytics-ready data platforms that support reporting, advanced analytics, and AI/ML initiatives. The ideal candidate combines strategic architectural thinking with deep hands-on experience in cloud-based data ecosystems.

Key ResponsibilitiesData Architecture &amp; Platform Design

Define and own the enterprise data architecture and target-state data landscape

Design and implement data lakehouse architectures supporting structured and unstructured data

Lead modernization from legacy data warehouses to lakehouse-based platforms

Establish architecture standards, patterns, and best practices 
 

Data Integration &amp; Processing

Architect batch and real-time data ingestion pipelines

Design scalable data processing frameworks using distributed compute

Integrate data from transactional systems, APIs, and third-party sources

Ensure data reliability, performance, and cost efficiency

 
Governance, Quality &amp; Security

Define and enforce data governance, quality, and lineage standards

Architect secure data access models including role-based access control

Ensure data privacy and regulatory compliance through design

Implement metadata management and auditing capabilities

 
Analytics Enablement

Enable BI, analytics, and AI/ML workloads through optimized data models

Support self-service analytics and standardized semantic layers

Partner with data engineers, analysts, and business stakeholders

 
Technical Leadership

Provide architectural guidance and design reviews

Mentor data engineers and technical teams

Translate business requirements into scalable data solutions

Data Architect  {Data Landscape & Lakehouse}

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

General Responsibilities:

The Lead Data Engineer is responsible for designing, developing, and optimizing data infrastructure to ensure reliable pipelines, scalable architecture, and high-quality data for analytics and business needs. The role includes leading a team of data engineers, collaborating with cross-functional stakeholders, and implementing best practices in data transformation, validation, governance, and cloud-based solutions.

Duties &amp; Responsibilities:

<ul>
	<li>Lead and mentor a team of data engineers, fostering collaboration, innovation, and continuous improvement.</li>
	<li>Define and enforce data engineering standards, coding practices, and architectural guidelines.</li>
	<li>Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.</li>
	<li>Design and maintain high-performance ETL/ELT pipelines and workflows.</li>
	<li>Build and optimize data lake, data warehouse, and streaming data solutions.</li>
	<li>Ensure systems support structured, semi-structured, and unstructured data sources.</li>
	<li>Develop data transformation and preparation processes to deliver clean, reliable, analytics-ready datasets.</li>
	<li>Implement validation, anomaly detection, and automated quality checks to ensure accuracy and consistency.</li>
	<li>Define and execute data remediation strategies to resolve issues with minimal business disruption.</li>
	<li>Implement and manage cloud-based data platforms (AWS, Azure, or GCP).</li>
	<li>Apply modern frameworks (e.g., Spark, Kafka, Airflow, DBT) for efficient data processing.</li>
	<li>Oversee data modeling, schema design, and database optimization (SQL/NoSQL).</li>
	<li>Ensure accuracy, consistency, and availability of data across platforms.</li>
	<li>Implement governance, lineage, validation frameworks, and security best practices.</li>
	<li>Monitor, troubleshoot, and optimize pipelines to meet SLAs and performance benchmarks.</li>
	<li>Stay current with emerging data engineering and analytics technologies.</li>
	<li>Recommend improvements to systems, tools, and processes to enhance scalability, reliability, and quality.</li>
	<li>Other job-related activities that may be assigned from time to time</li>
</ul>

Lead Data Engineer

Our culture and everyday life at DHL are defined and powered by two key things: our people and the values we share. These values have a crucial role to play in the continued success of our business. What’s more, they help make DHL an empowering and rewarding place to build your career and realize your potential, develop new skills, and make an impact. This is your future, delivered.

WE DELIVER THE DIFFERENCE
Purpose and innovation are at the heart of our business. We are fully aware that it’s our job to help you make a difference in somebody’s life. Not just the lives of our customers and colleagues, but to communities around the world too. We’re delivering that difference by changing the way we work through harnessing the latest technology, embracing digitalization, and focusing on sustainability. At DHL, driving market success also means driving positive change. This is something we are all very proud of. And if you join us, you will be too. 

WE CARE
And that means everyone – in every team, at every level. So, what does it mean to care? We believe it means creating a friendly work environment, where an inclusive workforce with different skills, experiences, and viewpoints come together as one, work-oriented global team. Caring also means taking corporate social responsibility seriously and being committed to diversity, equity, and belonging.  We share the same mindset, we celebrate the unique contribution everyone brings, and we respect one another.

WE GROW TOGETHER
We never forget it’s our people who make us who we are. That’s why career development, where everyone can shine, matters to us. We provide a secure employment environment – giving our colleagues the time, freedom and a culture that encourages colleagues to think long-term by offering growth opportunities, professional training, and development programs in different areas of the business. We want you to build a rewarding, lifelong career with us.

DHL Express (Philippines) Corporation

<ul>
	<li>Prepare shipment records (or files) for customs clearance entry by ensuring that the information available in the shipment record reflects the available data to DHL (in DHL systems, including CIA images, and Customer Database Records).</li>
	<li>Assist with general administrative duties related to customs clearance such as the printing, collation, distribution and filing of customs clearance-related documentation.</li>
	<li>Assist in preparing, printing, collating, and distributing customs documents for clearance processing</li>
	<li>Support BTO shipment documentation and coordinate handover to brokers</li>
	<li>Validate and correct shipment data to ensure compliance with regulatory formats and requirements</li>
	<li>Verify shipment details against commercial documents and customer instructions</li>
	<li> Ensure accurate recording of multi-commodity shipments</li>
	<li>Create shipment records/files for missing or over-landed shipments using available documents</li>
	<li>Assign and distribute shipment records to appropriate teams for clearance processing</li>
	<li>Escalate incomplete or special-case shipments to Clearance Support Group for resolution</li>
	<li>Perform filing and archiving of cleared shipment documents</li>
	<li>Coordinate with internal departments (NCG, warehouse, accounting) and external agencies (Customs)</li>
	<li>Provide administrative and operational support as required by supervisors</li>
	<li>Demonstrate ability to influence processes and support decision-making despite no direct authority</li>
</ul>

Data Administration Agent

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. 
 
Duties &amp; Responsibilities:

<ul>
	<li>Develops automated data pipelines based on recommended solution by Data Engineering Lead using official ETL tools determined by Data Engineering Head</li>
	<li>Creates automated data pipeline design documentation, Source-to-Target spreadsheets, and technical design specifications.</li>
	<li>Provides technical expertise, troubleshoots, guides and supports during design, development, testing, production and post-production.</li>
	<li>Understands the source system, captures and documents business rules.</li>
	<li>Analyzes and proposes changes to maximize code reusability and maintain business value.</li>
	<li>Develops, implements and maintains highly efficient and scalable automated data pipeline processes.</li>
	<li>Provides expert technical knowledge and solutions pertaining to Data integration.</li>
	<li>Identify opportunities to optimize the automated data pipeline including environment setup, implement monitoring, quality and validation processes to ensure data accuracy and integrity.</li>
	<li>Provides inputs into data governance organization to drive the data governance charter.</li>
	<li>Ensures compliance to internal standards and guidelines.</li>
	<li>Conducts unit testing and component integration testing for solutions developed</li>
	<li>Reviews business and technical requirements and ensures the data integration platform meets requirements.</li>
	<li>Applies industry best practices for automated data pipeline design and development.</li>
	<li>Implementation of an end-to-end complex automated data pipeline system using common Big Data Tools such as (but not limited to) Apache Spark, Talend, Kafka, Airflow, NiFi i and Hadoop Tools.</li>
	<li>Implements monitoring and measurement of data quality as defined by business rules.</li>
	<li>Ensures adherence to architectural governance standards and practices.</li>
	<li>Develops best practices, standards of excellence, and guidelines for programming teams.</li>
	<li>Ensures compliance to the DevSecOps practice.</li>
	<li>Conducts System Testing - execute job flows, investigate system defects, resolve defects and document results</li>
	<li>Provides a level of effort estimates for new initiatives and change controls in order for projects to be evaluated, budgeted and tracked for success.</li>
</ul>

Sr. Data Engineer

Duties and Responsibilites

<ul>
	<li>Design logical data models, ensuring alignment with business requirements, industry standards, and current data modeling best practices.</li>
	<li>Create robust physical data models, optimizing structures for efficient data storage and retrieval.</li>
	<li>Provide optimization strategies for existing data models, incorporating performance improvements, scalability, and maintainability.</li>
	<li>Review deliverables to ensure completeness and correctness against business requirements, promoting data quality and integrity.</li>
	<li>Ensure that the physical design meets the standards set by the Data Architecture team, adhering to industry best practices and compliance requirements</li>
	<li>Guide and provide inputs to Solution Architects on the implementation of various Business Intelligence (BI) solutions, ensuring alignment with the overarching data strategy.</li>
	<li>Develop in-depth source system knowledge to determine the best sources for specific information, supporting data accuracy and reliability.</li>
	<li>Provide source-to-target mapping for reports, extractions, and other analytical requirements, ensuring a clear understanding of data flow and transformations.</li>
	<li>Other job-related activities that may be assigned from time to time.</li>
</ul>

Data Architect

At AWS, we don’t just create software—we build solutions that drive business success and fuel professional growth.

As a trusted IT solutions provider and software development partner, AWS has consistently led the charge in delivering high-quality, reliable, and innovative technology services to clients around the world. With a strong foundation built on over 30 years of excellence, our strength lies in our people—skilled, passionate professionals dedicated to transforming ideas into reality through collaboration, creativity, and technical expertise.

Since our inception in the Philippines, AWS has been committed to the core philosophy of “Global IT Excellence.” This guiding principle has fueled our growth, enabling us to continually enhance our technical capabilities. Over the years, we’ve earned the trust of not only Japanese companies but also multinational corporations by delivering tailored, cutting-edge solutions that meet diverse business needs.

At AWS, we are not just about technology; we are about building lasting relationships and making a meaningful impact on the success of our clients. Our journey of constant innovation and technical refinement ensures that we are well-positioned to tackle tomorrow’s challenges today.

Advanced World Systems, Inc. / Advanced World Solutions, Inc. (AWS)

Data Warehouse Developer

Job Summary

We are looking for a skilled and motivated Data Warehouse Developer to design, develop, and maintain data warehouse solutions and ETL pipelines. The ideal candidate should have experience with AWS data services, database management, BI reporting tools, and Python development. Leadership skills and the ability to collaborate with cross-functional teams are also essential for this role.

Responsibilities

<ul>
	<li>Design, develop, and maintain scalable data warehouse solutions.</li>
	<li>Build and manage ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue, Lambda, and Snowflake.</li>
	<li>Perform data transformation and modeling using DBT (Data Build Tool).</li>
	<li>Develop and optimize SQL queries, stored procedures, and database structures.</li>
	<li>Manage and support databases including PostgreSQL and Athena.</li>
	<li>Create dashboards, reports, and data visualizations using Power BI and Tableau.</li>
	<li>Develop automation scripts and data processing solutions using Python.</li>
	<li>Monitor data pipelines and troubleshoot data-related issues to ensure data accuracy and integrity.</li>
	<li>Collaborate with business users, analysts, and technical teams to gather requirements and deliver data solutions.</li>
	<li>Lead technical initiatives, mentor team members, and provide guidance on best practices.</li>
	<li>Ensure compliance with data governance, security, and performance standards.</li>
</ul>

Data Warehouse (DW) Developer

Duties and Responsibilites

<ul>
	<li>Design logical data models, ensuring alignment with business requirements, industry standards, and current data modeling best practices.</li>
	<li>Create robust physical data models, optimizing structures for efficient data storage and retrieval.</li>
	<li>Provide optimization strategies for existing data models, incorporating performance improvements, scalability, and maintainability.</li>
	<li>Review deliverables to ensure completeness and correctness against business requirements, promoting data quality and integrity.</li>
	<li>Ensure that the physical design meets the standards set by the Data Architecture team, adhering to industry best practices and compliance requirements</li>
	<li>Guide and provide inputs to Solution Architects on the implementation of various Business Intelligence (BI) solutions, ensuring alignment with the overarching data strategy.</li>
	<li>Develop in-depth source system knowledge to determine the best sources for specific information, supporting data accuracy and reliability.</li>
	<li>Provide source-to-target mapping for reports, extractions, and other analytical requirements, ensuring a clear understanding of data flow and transformations.</li>
	<li>Other job-related activities that may be assigned from time to time</li>
</ul>

Data Architect [Databricks]

Kollab is a premier digital transformation advisor with over 1,100 enterprise customers across Southeast Asia. We partner with industry leaders — including Google, Amazon, and Okta — to deliver solutions across cybersecurity, AI & data analytics, infrastructure modernization, productivity & automation, and managed services.
Kollab is certified as a Great Place to Work® and has been recognized as one of the Best Workplaces™ in Asia. In both 2024 and 2025, we ranked #1 among the Philippines Best Workplaces™ in the small category. For 2026, we ranked #5 for the Medium Category. We offer above-market compensation and benefits.


Kollab Inc.

<ul>
	<li>Build and manage strategic relationships with enterprise and corporate customers, acting as a trusted advisor who understands their business objectives and long-term goals.</li>
	<li>Lead account strategy for your assigned division — developing new pipeline while expanding opportunities within existing accounts.</li>
	<li>Own the full sales cycle: manage multiple opportunities simultaneously, coordinate with cross-functional teams, and serve as the primary point of contact for your customers.</li>
	<li>Collaborate with technology partners to co-develop solutions and unlock new opportunities.</li>
	<li>Drive accurate forecasting, contribute to business development initiatives, and help the team meet its strategic goals.</li>
	<li>Navigate complex customer environments to identify the right solutions and articulate their business value clearly.</li>
</ul>

Account Executive, Enterprise Cybersecurity & AI Data Analytics

Ateneo de Manila University (Ateneo) is one of the leading universities in the Philippines. More than 150 years in existence, Ateneo has grown into a major Jesuit institution. Officially it became a university in 1959. It offers over 100 academic degree programmes.

Ateneo offers Basic Education (Grade School, Junior High School, and Senior High School). In addition, Higher Education (College, Graduate, Continuing Education) is made up of nine schools (Education and Learning Design, Government, Graduate School of Business, Humanities, Management, Science and Engineering, and Social Sciences) located in 3 campuses in Quezon City, Makati City and Pasig City.

It has an array of research centres, 11 of which are recognized as Centres of Excellence by the Philippine Commission on Higher Education. In addition to a European Studies Programme, it has a Centre for Asian Studies that fosters comparative research on East and Southeast Asia.

Ateneo has 207 partnerships with universities around the world (82 in Europe, 87 in Asia, 11 in Australia and New Zealand, and 27 in North and South America) and is a member of the ASEAN Universities Network and 3 other international university networks. Ateneo’s Rizal Library is the most advanced in the Philippines with over 307,000 titles in its collection and online access to most major academic journals.

Ateneo de Manila University

Under the supervision of the Assistant Director, UDPO, the Compliance Officer for Privacy II is responsible for compliance management, incident management, and complaints resolution in support of the operations of the Office. The position also performs research and capacity building, and office management support.

Main Duties and Responsibilities: 
 
I. Compliance Management

<ul>
	<li>Registers the University’s data processing systems with the National Privacy Commission (NPC), and notifies the agency of any automated decision-making system of the University</li>
	<li>Monitors the data protection concerns of other offices in the University, as assigned by the Assistant Director</li>
	<li>Coordinates with various stakeholders (e.g. NPC, other data protection authorities, regulators, etc.) during compliance checks, data protection-related cases, investigations, and other similar activities</li>
	<li>Coordinates with both internal and external stakeholders when carrying out data protection-related work</li>
	<li>Assists in organizing and preparing preparatory and consultative meeting with stakeholders</li>
	<li>Prepares materials, reserves venues, and orders food for meetings headed/organized by the Office</li>
	<li>Coordinates arrangements for guests of the Office (e.g. parking slots, entry, egress, etc.)</li>
</ul>

II. Incident Management and Complaints Resolution

<ul>
	<li>Prepares Security Incident Response Team Assessment Reports and submits to the Assistant Director for review and approval</li>
	<li>Coordinates with University offices/units when addressing security incidents or data protection-related complaints</li>
	<li>Gathers information and materials on data privacy, data protection, and other related topics when resolving issues/concerns encountered by the University that involve data privacy</li>
	<li>Drafts responses for the resolution of common data protection-related issues and inquiries</li>
	<li>Reviews and drafts data sharing agreements, subcontracting or outsourcing agreements, and other similar contracts relating to data protection</li>
	<li>Monitors the data protection concerns of other offices/units of the University and provides advice as needed</li>
</ul>

III. Research and Capacity Building

<ul>
	<li>Coordinates with various stakeholders in the resolution of policy questions and other legal issues relative to data protection</li>
	<li>Analyzes news and reports on issues and provides advice on their anticipated impact/s on the data protection framework of the University</li>
	<li>Serves as a resource speaker on topics involving data protection in trainings, workshops, and similar activities</li>
	<li>Prepares information, education, and communication materials on data protection</li>
	<li>Monitors the news for key data protection issues that may affect or impact the University</li>
	<li>Collects, analyzes, drafts, and reviews internal and external policies relating to data privacy and submits to the Assistant Director for review</li>
</ul>

IV. Office Management Support

<ul>
	<li>Attends meetings, conferences, hearings, consultations, and other similar work-related events on behalf of the Office</li>
	<li>Prepares minutes of the meeting, progress reports, post-activity reports, and other documentation materials for events or activities involving the Office</li>
	<li>Takes photos and audio recordings of events or activities where the Office is involved</li>
	<li>Prepares office-related materials such as memoranda, templates, activity designs, concept notes, studies, and slide presentations and submits to the Assistant Director for review</li>
</ul>

V. Performs other work-related tasks as may be required by the Immediate 
Supervisor and authorized representative.

Compliance Officer for Data Privacy

General Responsibilities:

The Data Engineer will focus on using various methods to design and implement an overall data infrastructure that will support current and future business needs. The data engineer is also tasked in creating data pipelines that transform raw data for analytical and operational processes.

Duties and Responsibilities:

-Design and build scalable big data infrastructure and solutions, leveraging available cloud resources 
-Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning 
-Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks 
-Optimize and automate existing current business processes and procedures 
-Create and present ad hoc reports to key stakeholders

Data Engineer {Java, Python, SQL}

Ateneo de Manila University is looking for a CRM &amp; Data Analyst for Alumni and Donor Engagement who will help strengthen how the University manages relationships with its alumni, donors, and partners through data, systems, and technology-enabled processes.

This role is ideal for someone who enjoys working at the intersection of CRM systems, data management, reporting, dashboards, process improvement, and stakeholder support. You will be part of the Office of University Development and Alumni Affairs, where your work will directly support meaningful engagement, fundraising, alumni relations, and development initiatives for the University.

If you have experience with CRM platforms such as Salesforce, HubSpot, Microsoft Dynamics, or similar systems, and you enjoy turning data into useful insights and better workflows, this role may be a strong fit for you.

What You’ll Do:

As the CRM &amp; Data Analyst, you will help maintain, improve, and maximize the use of the office’s CRM system. Your work will support more organized, data-informed, and effective engagement with alumni, donors, and partner organizations.

Your responsibilities will include:

CRM System Administration and Maintenance:

<ul>
	<li>Maintain and monitor the CRM database to ensure data accuracy, functionality, security, and reliability.</li>
	<li>Help configure CRM modules, workflows, and processes based on operational and reporting needs.</li>
	<li>Coordinate with internal University offices, system providers, and data privacy stakeholders on CRM updates, integrations, troubleshooting, and system improvements.</li>
	<li>Support CRM enhancement, customization, automation, and process improvement initiatives.</li>
	<li>Identify opportunities to make CRM-supported workflows more efficient and user-friendly.</li>
</ul>

Data Analytics, Reporting, and Dashboards:

<ul>
	<li>Generate CRM reports, dashboards, and data visualizations to support alumni and donor engagement strategies.</li>
	<li>Analyze donor behavior, engagement trends, campaign performance, and other CRM-based insights.</li>
	<li>Consolidate and interpret data across teams to support evidence-based decision-making.</li>
	<li>Monitor CRM data quality and recommend improvements to support data integrity and operational efficiency.</li>
	<li>Ensure proper handling of alumni and donor data in line with data privacy requirements and University guidelines.</li>
</ul>

User Support and Training:

<ul>
	<li>Provide CRM user support to staff and authorized users in coordination with the system provider.</li>
	<li>Assist in troubleshooting CRM-related concerns and documenting recurring issues or solutions.</li>
	<li>Develop and maintain user guides, training materials, and standard operating procedures.</li>
	<li>Help conduct or coordinate CRM training sessions to promote consistent and effective system use.</li>
</ul>

Stakeholder Coordination:

<ul>
	<li>Work with teams involved in advancement, alumni formation, donor relations, communications, and data systems.</li>
	<li>Support segmented audience lists, campaign monitoring, event tracking, and follow-up analytics using CRM data.</li>
	<li>Collaborate with technical and non-technical stakeholders to ensure CRM processes are useful, accurate, and aligned with the office’s goals.</li>
</ul>

CRM & Data Analyst for Alumni and Donor Engagement

<ul>
	<li>Execute performance tuning activities for model serving infrastructure to maintain optimal latency and throughput.</li>
	<li>Conduct post-deployment validation checks to ensure model prediction stability, API responsiveness, and overall service quality.</li>
	<li>Support the enhancement of operational pipelines, including CI/CD workflows, configuration templates, and automated monitoring scripts.</li>
	<li>Participate in service reliability reviews to improve platform uptime, incident response processes, and operational readiness.</li>
	<li>Coordinate closely with DevOps and Platform Engineering to address infrastructure-level concerns related to model hosting and deployment.</li>
	<li>Assist in the rollout of platform-level improvements, including model registry enhancements, container optimization, and new monitoring tools.</li>
</ul>

Machine Learning Operations Specialist {Data Engineer} With background on Cloud

Role Description

We are seeking a dedicated and skilled Machine Learning Operations Specialist to join our team. In this full-time, hybrid role (partly based in Taguig with work-from-home flexibility), you will design, implement, and optimize machine learning models for business applications.

 

Qualifications:

Model Monitoring and Maintenance

<ul>
	<li>Monitor performance, health, and operational status of ML models deployed to production.</li>
	<li>Detect anomalies, data drift, concept drift, or degradation in prediction quality.</li>
	<li>Implement corrective actions or coordinate with Data Science teams for retraining or model refinement.</li>
</ul>

Incident Management

<ul>
	<li>Triage and diagnose issues affecting model availability, accuracy, latency, or data quality.</li>
	<li>Execute immediate stabilization tasks or escalate to appropriate teams when needed.</li>
	<li>Document all incidents, resolutions, and preventive actions.</li>
</ul>

Deployment and Release Management

<ul>
	<li>Plan and execute rollout of new model versions, platform updates, or configuration changes.</li>
	<li>Validate deployments through regression checks, functional testing, and performance validation.</li>
	<li>Manage model versioning, rollback procedures, and release documentation.</li>
</ul>

Model Lifecycle Operations

<ul>
	<li>Manage routine operational tasks such as data refreshes, threshold tuning, and configuration updates.</li>
	<li>Automate workflows for recurring operational tasks where applicable.</li>
	<li>Support periodic model retraining cycles initiated by Data Science or ML Engineering teams.</li>
</ul>

Model Management Platform Support

<ul>
	<li>Support the enhancement and maintenance of the Model Management Platform, including model registry, monitoring tools, lineage dashboards, and pipeline components.</li>
	<li>Collaborate in implementing CI/CD pipelines for ML models (training, validation, deployment).</li>
	<li>Integrate new tools or operational improvements to enhance model reliability and observability.</li>
</ul>

Operational Stability and Risk Mitigation

<ul>
	<li>Address high-impact issues due to upstream data inconsistencies, environment drift, or infrastructure instability.</li>
	<li>Identify operational risks and propose preventive measures to ensure model uptime, accuracy, and compliance.</li>
	<li>Monitor and optimize resource usage related to ML tooling, serving infrastructure, and pipelines.</li>
</ul>

Cross-Functional Collaboration

<ul>
	<li>Work closely with Data Scientists, ML Engineers, DevOps, SysOps, and Platform teams to maintain seamless ML</li>
	<li>operations.</li>
	<li>Participate in post-incident reviews and recommend improvements for pipeline reliability, monitoring, and tooling.</li>
</ul>

Machine Learning Operations Specialist

Role Description

We are seeking a dedicated and skilled Machine Learning Operations Specialist to join our team. In this full-time, hybrid role (partly based in Taguig with work-from-home flexibility), you will design, implement, and optimize machine learning models for business applications.

.Machine Learning Operation Specialist.

Hire Manila is a recruitment agency with 25 years of combined experience helping businesses find, hire, and onboard the right people fast. We specialize in matching opportunities with quality talent across accounting, design, human resources, information technology, and software engineering. 

Beyond traditional recruitment, we're also experts in remote work solutions and offshore team building. Whether you need end-to-end recruitment services, help assembling a fully remote team, or an Employer of Record (EOR), we've got you covered. At Hire Manila, we believe the right hire can transform a company—and we're committed to finding talent that fits not just your job requirements but your company culture too.

Hire Manila is part of Venture Studio 12 (VS12). Learn more about VS12 and its global companies and brands at vs12.com.


Hire Manila

Hire Manila is recruiting on behalf of our client, a growing technology company looking for a Software Engineer with experience in data engineering, cloud technologies, and AI-powered solutions.

This role will be part of the data team and will help transform data pipelines, build APIs, develop AI workflows, and contribute to the overall software architecture.

Responsibilities

<ul>
	<li>Design and maintain scalable data pipelines</li>
	<li>Build and maintain APIs and backend services</li>
	<li>Develop AI-powered workflows and automation solutions</li>
	<li>Work with cloud infrastructure and deployment processes</li>
	<li>Collaborate with engineers, product teams, and stakeholders</li>
	<li>Contribute to system architecture and technical decisions</li>
	<li>Support continuous improvement of development processes</li>
</ul>

Kalibrr Job Search

Data Architect {Data Landscape & Lakehouse}