Total 3,963 job vacancies in Singapore

Job Description

The Data & Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.

Key Responsibilities:

•Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines Group.

•Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.

•Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.

•Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.

•Design, build and manage data marts to satisfy our growing data needs.

•Be part of a project team to manage and deliver project deliverables, resources and timelines.

•Any other ad-hoc duties.

•This is an individual contributor role.

•Note: You could be posted to any subsidiary in SIA Group.

Requirements

•BS degree in Data Science & Analytics, Computer Science or a related technical field.

•Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them.

•Ability in analyzing data to identify deliverables, gaps and inconsistencies.

•Good critical thinking and problem-solving abilities.

•Ability to work independently and manage multiple task assignments.

•More than 2 years of SQL and Python experience is required.

•Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus.

•Experience in ETL pipeline design, implementation and maintenance.

•Experience working with visualization tools (specifically Tableau would be preferred).

Our client is a provides temperature-controlled logistics. Due to their current expansion plan, they are looking for Logistic Coordinator to join their team, in hopes of developing the current high performing team. They are located in East.

• Salary: $2,500 -$2,800 + AWS
• Location: East (Tampines Industrial Crescent)
• Mon to Fri 9AM - 5PM

Job Responsibilities:

• Interpret customer requirements and execute operational activities for both new and ongoing project
• Process shipment requests to support new and existing project requirements
• Carry out secondary packaging and product labeling activities
• Liaise with customers regarding new shipment arrangements and booking coordination
• Coordinate communication between the dispatch team, drivers, and agents to support critical global pick-up and delivery operations, including warehouse packing and pallet preparation to ensure accuracy and efficiency
• Manage and maintain complete project documentation for both new and ongoing assignments
• Ensure all project responsibilities and procedures are strictly followed and compliant with established standards

Requirements:

• Entry Level position and training provided
  

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R25157233 (Loh Pooi Keng)

Looking for a role that’s fun, social, and focused on your personal growth?

Join a team where you don’t just work — you develop real skills, build confidence, and grow every day!

Perks & Growth Opportunities

Our client, a well-established organisation is seeking for an IT Director ( AI , Data , System ) - $ 15,000.00 + AWS + attractive bonuses / 21 annual leave / Central area

Requirements

• Degree in IT / Computer or relevant
• At least 8 to 10 years of top management experience leading a team of 10 to run the entire IT Operation which include AI Automation, Data Analytics, System Application and Infrastructure
• Hands-on experience in management and administration of all tasks assigned related to IT infrastructures including Servers, Network and Security
• Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
• Familar with Netsuite, SAP application is a plus
• Strong communication and interpersonal skills to deal with all level of people including stakeholders
• Independent and team player

Others

• Salary up to $ 15,000.00 + AWS + attractive bonuses
• Office hours, 5 day work week
• 21 Days Annual Leave
• Central area

Interested candidate can send in your resume (word format prefer) to grayson.su@thetalentnetwork.com.sg

Job Description:

• Design, develop, and maintain end to end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).
• Build and optimize ETL / ELT workflows using SQL, Python, and enterprise data integration tools.
• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.

Database & Data Platform Management:

• Work hands on with RDBMS platforms such as Oracle, DB2, SQL Server, or PostgreSQL for data extraction, transformation, and performance tuning.
• Develop and optimize SQL queries, views, and stored procedures to support reporting and analytics use cases.
• Support data modelling activities (logical and physical) for analytics and reporting layers.

Data Quality, Governance & Operations:

• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.
• Support operational data activities, including incident investigation, root cause analysis, and remediation.
• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.

Collaboration & Stakeholder Engagement:

• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.
• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.
• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Strong hands on experience with SQL and relational databases (Oracle, DB2, SQL Server, PostgreSQL).
• Experience building and supporting ETL / data pipelines in enterprise environments.
• Solid understanding of data modelling, data quality, and data lifecycle management.
• Ability to troubleshoot data issues and work in production / operational environments.
• Experience with Python for data processing or automation.
• Experience with data streaming technologies (e.g. Kafka, Spark, NiFi).
• Experience with BI and visualization tools such as Tableau, Qlik, or Power BI.
• Knowledge of cloud or hybrid data platforms and orchestration tools.
• Knowledge of Agile / DevOps practices and CI/CD for data pipelines.
• Minimum 2 years working experience.
• 3 must have skillset: SQL, Python, Tableau.

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. 

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

We’re looking for a Principal Platform Engineer with a strong foundation in data architecture, distributed systems, and modern cloud-native platforms to architect, build, and maintain intelligent infrastructure and systems that power our AI, GenAI and data-intensive workloads.

You’ll work closely with cross-functional teams, including data scientists, ML & software engineers, and product managers & play a key role in designing a highly scalable platform to manage the lifecycle of data pipelines, APIs, real-time streaming, and agentic GenAI workflows, while enabling federated data architectures. The ideal candidate will have a strong background in building and maintaining scalable AI & Data Platform, optimizing workflows, and ensuring the reliability and performance of Data Platform systems.

Responsibilities

Platform & Cloud Engineering

• Develop and maintain real-time and batch data pipelines using tools like Airflow, dbt, Dataform, and Dataflow/Spark

• Design and develop event-driven architectures using Apache Kafka, Google Pub/Sub, or equivalent messaging systems

• Build and expose high-performance data APIs and microservices to support downstream applications, ML workflows, and GenAI agents

• Architect and manage multi-cloud and hybrid cloud platforms (e.g., GCP, AWS, Azure) optimized for AI, ML, and real-time data processing workloads

• Build reusable frameworks and infrastructure-as-code (IaC) using Terraform, Kubernetes, and CI/CD to drive self-service and automation

• Ensure platform scalability, resilience, and cost efficiency through modern practices like GitOps, observability, and chaos engineering

Data Architecture & Governance

• Lead initiatives in data modeling, semantic layer design, and data cataloging, ensuring data quality and discoverability across domains

• Implement enterprise-wide data governance practices, schema enforcement, and lineage tracking using tools like DataHub, Amundsen, or Collibra

• Guide adoption of data fabric and mesh principles for federated ownership, scalable architecture, and domain-driven data product development

AI & GenAI Platform Integration

• Integrate LLM APIs (OpenAI, Gemini, Claude, etc.) into platform workflows for intelligent automation and enhanced user experience

• Build and orchestrate multi-agent systems using frameworks like CrewAI, LangGraph, or AutoGen for use cases such as pipeline debugging, code generation, and MLOps

• Experience in developing and integrating GenAI applications using MCP and orchestration of LLM-powered workflows (e.g., summarization, document Q&A, chatbot assistants, and intelligent data exploration)

• Hands-on expertise building and optimizing vector search and RAG pipelines using tools like Weaviate, Pinecone, or FAISS to support embedding-based retrieval and real-time semantic search across structured and unstructured datasets

Engineering Enablement

• Create extensible CLIs, SDKs, and blueprints to simplify onboarding, accelerate development, and standardize best practices

• Streamline onboarding, documentation, and platform implementation & support using GenAI and conversational interfaces

• Collaborate across teams to enforce cost, reliability, and security standards within platform blueprints

• Act as a thought leader across engineering by introducing platform enhancements, observability, and cost optimization techniques

• Mentor junior engineers and foster a culture of ownership, continuous learning, and innovation

Qualifications

• 15 years of hands-on experience in Platform or Data Engineering, Cloud Architecture, AI Engineering roles

• Strong programming background in Java, Python, SQL, and one or more general-purpose languages

• Deep knowledge of data modeling, distributed systems, and API design in production environments

• Proficiency in designing and managing Kubernetes, serverless workloads, and streaming systems (Kafka, Pub/Sub, Flink, Spark)

• Experience with metadata management, data catalogs, data quality enforcement, and semantic modeling & automated integration with Data Platform

• Proven experience building scalable, efficient data pipelines for structured and unstructured data

• Experience with GenAI/LLM frameworks and tools for orchestration and workflow automation

• Experience with RAG pipelines, vector databases, and embedding-based search.

• Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry) and strong debugging skills across the stack

• Experience with ML Platforms (MLFlow, Vertex AI, Kubeflow) and AI/ML observability tools

• Prior implementation of data mesh or data fabric in a large-scale enterprise

• Experience with Looker Modeler, LookML, or semantic modeling layers

Why You’ll Love This Role

• Drive technical leadership across AI-native data platforms, automation systems, and self-service tools

• Collaborate across teams to shape the next generation of intelligent platforms in the enterprise

• Work with a high-energy, mission-driven team that embraces innovation, open-source, and experimentation

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. 

About Royal Org

Royal Org is a fast-growing outsourced sales and marketing company specializing in brand and marketing.

We partner with clients across industries, including lifestyle, energy, NGOs and FMCG, to boost brand awareness and drive measurable results!

Why Join Us

• Clear and fast career progression

• ⁠Supportive, dynamic, and ambitious team culture

• ⁠Comprehensive training and 1-to-1 mentorship provided

• ⁠Team events and travel opportunities

• ⁠No prior experience needed

What You’ll Do

• Represent major brands through in-person marketing campaigns

• ⁠Engage customers and build strong relationships

• ⁠Collaborate with your team to grow together

• ⁠Learn and implement effective sales and marketing strategies

At Royal Org, we value passion, professionalism, and potential.

If you’re driven to learn, grow, and achieve, apply now to start your career with us!

(Only shortlisted candidates will be contacted.)

Company Overview / Employee Value Proposition

Royal Org is a fast-growing outsourced sales and marketing company partnering with clients across lifestyle, energy, NGOs, and FMCG sectors to boost brand awareness and deliver measurable results.

Job Summary

You will represent major brands through in-person marketing campaigns, engage customers to build strong relationships, and collaborate with your team to implement effective sales and marketing strategies.

Responsibilities

• Represent major brands by executing in-person marketing campaigns to increase brand visibility
• Engage customers directly to build strong, lasting relationships and promote brand loyalty
• Collaborate with team members to share insights and support collective growth and success
• Learn and apply effective sales and marketing strategies to improve campaign outcomes and personal performance

Requirements:

• Excellent ethics and positive learning attitude
• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)
• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm
• Lead and drives a team towards a common goal
• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system
• Performance based
• BUSINESS ADVANCEMENT
• Highly motivated, FUN and FAMILY-liked environment
• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE! We regret to inform you that only shortlisted candidate will be notified.

About the Role

Our client is seeking a skilled Data Engineer to design and build scalable data infrastructure supporting critical public sector initiatives. This role involves working across large and complex datasets, including geospatial data, to enable data-driven decision-making and digital product development.

The ideal candidate combines strong technical expertise with the ability to understand business needs, ensuring data solutions are robust, scalable, and aligned with organisational goals.

Key Responsibilities

• Design, develop, and maintain data platforms and architectures, including data warehouses, data lakes, and operational data stores
• Build and optimise data pipelines (batch and real-time) to support large-scale data processing and analytics
• Perform data extraction, transformation, and cleansing (ETL/ELT) to ensure high-quality, reliable datasets
• Integrate and consolidate data from multiple sources, ensuring scalability, security, and compliance
• Develop and maintain backend APIs and data services to support applications and downstream use cases
• Collaborate with Product Managers, Data Architects, Analysts, and Engineers to deliver data-driven products
• Implement data governance, quality controls, and monitoring frameworks
• Operate in an Agile environment, contributing to CI/CD practices, code reviews, and continuous improvement
• Participate in onsite engagements where required

GIS / Spatial Data Focus

• Build and maintain scalable geospatial data pipelines for ingestion, transformation, storage, and validation across multiple sources
• Work with GIS platforms and tools such as ArcGIS Server and PostGIS
• Utilise Python spatial libraries (e.g. GeoPandas, Shapely) for geospatial data processing
• Implement data cataloguing, metadata management, lineage tracking, and security controls for geospatial datasets
• Design and optimise geospatial data models, schemas, and storage solutions for performance and scalability
• Ensure compliance with geospatial standards (e.g. ISO 19115/19139, OGC) and governance requirements
• Provide reliable data services and APIs to support analytics and front-end visualisations
• Support development or integration of map services and geospatial visualisation components

Requirements

• Proven experience in data engineering or data platform development, preferably in large-scale or complex environments
• Strong proficiency in data pipeline development, data modelling, and database technologies
• Experience working with distributed data processing frameworks and modern data stacks
• Solid understanding of data governance, quality, and security practices
• Ability to work across both technical and business stakeholders
• Comfortable balancing big-picture architecture with hands-on implementation
• Strong alignment with public sector mission and impact-driven work

Preferred:

• Experience with GIS / geospatial data systems and platforms
• Familiarity with ArcGIS Server, PostGIS, GeoPandas, Shapely
• Exposure to data lakes, cloud platforms, or modern data ecosystems
• Experience working on government or public sector projects

All information will be kept strictly confidential. Only shortlisted candidates will be contacted.

TALENT PULSE PTE. LTD.
EA License No: 25S2956

Job Requirements:

- Required language(s): English

- Required Skill(s): Independent, Good Networking and Communication Skills

- Preferably Junior Executive specialized in Sales - Corporate or equivalent.

- Inter-personnel/communication/networking skills are required

- Basic knowledge of MSWord and MSexcel (Templates will be given)

- Self-motivated individual

- Proficiency in English

Official working hours (5 days work week)

Monday to Friday 9am - 6pm

• Business administration or commercial experience is advantages
• Entry level / junior are welcome to apply

Responsibilities:

- Control and monitor financial performance of the projects

- Prepare and analyses monthly project status reports

- Handle tender / offer process with the proposal managers, including preparing and reviewing of offer costing and conditions of contracts

- Perform daily project controlling work including periodic review of costing, reporting, claim management, delivery documentation, billings, debt collection, arrangement for insurance policies and bank guarantee, etc

- Interact and interface with other stakeholders for an effective and efficient project controlling

- Perform month-end closing for projects

- Handle inward/outward shipments and L/C documentation if necessary

- Perform revenue, cost and cash flow forecasting

- Ensure compliance with work instructions and work processes

- Undertake any other ad hoc duties

Requirements:

- Degree in business administration or other commercial disciplines

- At least 2-3 years business administration or commercial experience

- Experience in Microsoft Dynamics Nav System

- Good Microsoft Office skill

- Experience in project accounting

•       Good Pay +Good allowance + Good Bonus

•       Interestedcandidates please send an updated Resume / CV in Ms Word format tolilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)

•       Consultantin-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Responsibilities

• Create awareness campaign (posters, slides, email blasts, videos).
• Create dashboard to give clear reference to employees on risks and hazards at their area.
• Other ad hoc duties assigned by supervisor

Requirements

• Min NITEC/ Diploma in any related course of studies
• Knowledge on digitalization (Powerpoint, PowerBI, PowerApp, or other digital solutions)
• Prior experience in building dashboards will be advantageous

All qualified applicants, please send in your resume to:

triciagoh@recruitexpress.com.sg

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Key Responsibilities

• Identify and pursue new business opportunities in data centre, transportation, commercial, industrial, and infrastructure projects
• Plan and execute marketing strategies to increase brand awareness and lead generation
• Building and maintaining strong, long-lasting relationships with consultants, owners, contractors, and end-users

• Promote electrical switchboards and control panels, highlighting technical features and solutions.
• Track upcoming projects and market opportunities in SE Asia.
• Conduct market research and competitor analysis to support business strategies
• Coordinate and participate in industry events, exhibitions, and networking sessions
• Perform other related tasks as deemed reasonable by the Management

Requirements:

• Diploma/Degree in Electrical Engineering, Business, Marketing, or related field
• 3-4 years' experience in business development and marketing.

HOW TO APPLY:

Interested applicants, please click on “Apply Now”. We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lim Jun Ping

EA Personnel Reg No: R25128522

Looking for a fun and vibrant environment that supports growth? We welcome you!

Responsibilities:

• Face to face interactions with customer
• Assist in coaching for newer trainees
• Developing yourself through workshops provided here

✈️Opportunities:

• Frequent overseas trips (Getaway almost everyone!)

• Leadership roles

• Personal development workshops by performing individuals

Requirements:

• Team player

• Good learning attitude

• Hungry for growth

If you are keen to find out more, kindly click apply! We regret that only suitable candidates will be notified!

• Coordinate research activities and ensure projects remain on track across different stages.

• Manage vendors and review research materials, including questionnaires and code frames.
• Test surveys and review data outputs to ensure accuracy, consistency, and quality.
• Consolidate and prepare datasets from multiple sources, ensuring data reliability.
• Create clear and impactful data visualisations using Excel (e.g. charts, pivot tables, dashboards) to support data‑driven decision‑making.
• Support the enhancement of data dashboards through planning and testing.

We’re Looking for Someone Who:

• Has strong organisational skills and thrives in a fast‑paced, deadline‑driven environment.
• Pays close attention to detail and takes pride in ensuring data accuracy.
• Is highly proficient in Excel and comfortable working with large datasets.
• Communicates clearly and effectively with internal and external stakeholders, both written and verbally.

Interested candidate please click"APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating  suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/policies.  If you wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let us know. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

- 1 year contract (convertible based on performance)

- Up to $6,500

- Mon-Fri: 9am-6pm

- Telok Ayer

Job Overview:

The Data Scientist (AI Engineer) serves as the critical technical bridge between high-level business strategy and scalable AI production. This role is dedicated to accelerating demand creation by translating complex client challenges into feasible, high-impact AI/ML prototypes and Proof of Concepts (PoCs).  

By balancing technical rigor with strategic communication, the incumbent assesses data maturity, designs agile solutions using both traditional and Generative AI, and ensures that all innovations are architecturally sound and ready for production handover. Ultimately, this role drives organizational growth by de-risking AI investments and demonstrating the tangible technical value of emerging technologies.  

Core Focus Areas  

• Technical Translation: Converting business "pain points" into rigorous technical requirements and feasible AI architectures.  

• Rapid Innovation: Designing and iterating on interactive prototypes that showcase the "art of the possible" while adhering to vetted Technology Readiness Level (TRL) standards.  

• Strategic Advisory: Evaluating client data infrastructure and providing technical roadmaps to bridge the gap between current capabilities and AI readiness.  

• Seamless Integration: Partnering with Production and Enablement leads to ensure prototypes are scalable, documented, and transitioned without technical debt.  

• Technology Scouting: Researching and applying cutting-edge tools from the internal Tech Radar to solve real-world client problems. 

Responsibilities:  

Technical Requirements Elicitation & Analysis:  

• Collaborate with AI/ML Business Analysts and clients to deeply understand their existing technical landscape, data infrastructure, and specific operational challenges.  

• Translate high-level business needs into technical requirements for AI/ML solutions, identifying necessary data inputs, system integrations, and potential technical constraints.  

• Assess the technical feasibility of proposed AI/ML use cases, ensuring alignment with the organization’s vetted tech stack and TRL standards, given the client's current data capabilities and technology stack. AI/ML Solution 

Conceptualization & Prototyping:   

• Design and develop rapid, interactive prototypes or proof-of-concepts (PoCs) using appropriate AI/ML techniques (both traditional ML and cutting-edge AI like Generative AI).  
• Demonstrate the functionality and potential business impact of AI/ML solutions through compelling technical demonstrations and visualizations. 

• Iterate rapidly on prototypes based on client feedback, showcasing agility and responsiveness. 

Technical Communication & Value Articulation:  

• Simplify complex AI/ML concepts, algorithms, and technical architectures into understandable terms for non-technical business stakeholders.  
• Clearly articulate the technical value proposition of proposed solutions, explaining how the AI/ML will work and why it is the right approach for the client's problem.  

• Present technical findings, prototype results, and architectural considerations to clients and internal teams.  

Organizational Data Capability Assessment (Technical):  

• Conduct technical assessments of client data maturity, including data quality, accessibility, governance, and existing infrastructure.  

• Advise clients on technical prerequisites and potential roadmaps for enhancing their data capabilities to support AI/ML initiatives.  

Emerging Technology Research & Application:  

• Actively research and evaluate new AI/ML technologies, tools, and frameworks (e.g., specific algorithms, cloud AI services, MLOps tools) relevant to demand creation and prototyping.  

• Support the AI Solution Enablement Lead by exploring specific application-layer use cases for technologies already on the internal Tech Radar. Provide field feedback on the performance of vetted tools in client prototypes  

• Identify how emerging technical capabilities can be applied to solve client problems and create new service offerings.  

• Contribute technical insights to market exploration and strategic planning. 

Cross-Functional Collaboration & Handover:  

• Work in close partnership with the Data Science / AI Production Team from the earliest stages to ensure that prototyped solutions are designed with production scalability and maintainability in mind.  

• Collaborate primarily with the AI Solution Enablement Lead to transition validated TRL 3 prototypes into the hardening phase. Ensure all initial technical elicitation is documented according to Enablement Quality Gate standards to prevent technical debt during handover  

• Facilitate smooth technical handovers of validated concepts, prototypes, and initial architectural considerations to the production team, minimizing rework and ensuring continuity.  

• Provide technical context and support during the transition phase to ensure the production team has a comprehensive understanding of the solution's intent and design.  

Problem Solving & Innovation:  

• Apply strong analytical and problem-solving skills to technical challenges encountered during the demand creation and prototyping phases.  

• Propose innovative technical approaches to address client needs and differentiate our solutions. 

Period:

•  1 year contract (convertible based on performance)

Working Hours:

• Mon-Fri, 9am-6pm 

Salary: 

• Up to $6,500 

Location: 

• Telok Ayer

Requirements:

• Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.  

• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.  

• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.  

• Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).  

• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.  

• Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).  

• Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).  

• Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, Vertex AI ML Metadata/Model Registry), and model versioning.  

• High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.  

• Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.  

• A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.  

• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.  

• Excellent presentation, documentation, and stakeholder management skills. 

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
zikry@successhrc.com.sg  (Registration no: R2198989)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 06891

T: 6337 3183 | W: www.successhrc.com.sg