Total 30 Senior Executive Information Technology job vacancies in The United States of America

Job Description

We have multiple senior data engineering positions available. 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.
• 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.
• 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 Computer Science or a related technical field. MS or PhD degree is a plus.
• Python development experience in production environment is required.
• More than 2 years of SQL (such as PostgreSQL, Oracle, AWS Redshift, GCP Big Query, or Hive) experience is required. NoSQL experience is a plus.
• More than 2 years working with Linux OS. Knowledge of networks and cybersecurity is a plus.
• Experience working with infrastructure-as-code systems like AWS CloudFormation. DevOps, AWS and GCP experience is a plus.
• Experience in working with a commercial ETL tools like Ab Initio and Talend would be a plus.
• Experience in ETL pipeline design, implementation and maintenance.
• Experience working with visualization tools (specifically Tableau would be preferred).
• Ability in analysing data to identify deliverables, gaps and inconsistencies.
• Ability in managing and communicating data mart plans to internal customers.

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:
• Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
• Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
• Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
• Design and develop intuitive, highly automated, self-service data platform functions for business users.
• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:
• Advanced programming skills in Python. Conversant with data structures and algorithm design.
• Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
• Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
• Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Job Description

• Using Microsoft technology stacks, i.e Azure services, SharePoint, Power Platform to develop custom applications to fulfil business needs.
• Involve in software delivery lifecycle (i.e., requirements elicitation, estimation/sizing, solution design, development, testing, deployment, post-production support).
• Apply / Setup DevOps best practices and techniques as part of software delivery.
• Improve / Ensure sound security architecture and design of the applications and their environments.
• Plan and carry out data migration and data analysis activities.
• Facilitation / Participation in Agile delivery events (i.e., Planning & Replenishment meetings, Daily Scrum, Team Retrospectives).
• Conduct evangelisation, provide technical consultancy and clinics.
• Able to carry out Azure subscription administration or Power Platform administration will be a plus.

Requirements

• Degree in Information Technology or related fields.
• Minimum 6 years of experience in designing and developing solutions in the domain of Azure services, SharePoint Online, Power Platform preferably as a full-stack developer.
• Strong expertise in Azure App Services, Azure Functions and Azure SQL.
• Strong expertise in DevOps tools for source control management, Pipelines for continuous integration/continuous deployment (CI/CD), Tests Management, Azure Monitor for monitoring and logging, and Azure Resource Manager for infrastructure deployment and management.
• Strong expertise in SharePoint (SPFx), HTML, CSS, JavaScript and React.
• Strong expertise in REST API and Microsoft Graph API.
• Experienced with scripting languages like PowerShell and Bash.
• Experienced in security tools like Azure Security Center, Azure Key Vault and Azure Sentinel.
• Experienced in implementing authentication protocols in applications via Azure Active Directory (AD), OAuth, Single Sign-On (SSO), and Multi-Factor Authentication (MFA).
• Good understanding of SQL Server, T-SQL, and NoSQL, along with expertise in writing and optimizing SQL queries.
• Good understanding of network concepts such as virtual network, DNS, TCP/IP etc. Familiarity with network security protocols like SSL, TLS, SSH, and HTTPS is also required.
• Competencies in Power Platform application development (Canvas App, Model Driven App, Power Pages and Power Automate flows)
• Experienced in relevant platform administration will be an added advantage.
• Has advanced certifications in the relevant domains will be an added advantage.
• Strong critical thinking, numerical, analytical and project management skills.
• Team player with good inter-personal skills.
• Experienced in Agile frameworks like Scrum and Kanban, including facilitation of agile delivery events.

Job Description

The successful candidate will be part of a dynamic and fast paced environment that is responsible for digitalizing key business processes in Airline Operations – covering Cabin Crew, Pilots, Ops Control and Safety business units.

Key Responsibilities include:

• Develop modern web development and DevOps practices to develop, test, debug and deploy.
• Develop responsive and mobile friendly web design.
• Develop robust solutions with consideration to security, performance, internationalization, and browser-compatibility.
• Designing and developing Microservices.
• Configure, build, and test the application or technical architecture components.
• Work with other developers, designers, and architects to make sure that the configuration and custom components meet application requirements and performance goals.
• Plan and execute all required process steps as defined in our methodologies.
• Anticipate, identify, track, and resolve issues and risks affecting the delivery.
• This is an individual contributor role.

Requirements

• Bachelor's Degree in Computer Science or relevant field
• At least 4 years' experience in full stack development framework
• Ability to gain an understanding of customer process and issues
• Professional certification in Cloud Security, AWS Certification and/ or Cloud-related will be preferred
• Ability to demonstrate excellence in communicating and presenting complex information to technical and non-technical stakeholders, both verbally and in written form
• Technically competent in one or more of the following languages, tools and technologies:Cloud-native development including microservices and serverless environment
  Front-end development such as HTML5, CSS3, BootStrap, Javascript, jQuery, React.js, Redux, Ant Design, Amcharts, Node, Struts, etc
  Server-side development such as Java, Python, Spring/Spring Boot, MyBatis, Flask, Redis, SQLAlchemy, Celery, etc
  Data management e.g. Oracle, Amazon Aurora (MySQL)
  Micro Services / Web services, APIs to design Restful services
  Compute, Kubernetes, Openshift Container Platform (OCP) technologies

Job Description

We have multiple senior data engineering positions available. 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.
• 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.
• 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 Computer Science or a related technical field. MS or PhD degree is a plus.
• Python development experience in production environment is required.
• More than 2 years of SQL (such as PostgreSQL, Oracle, AWS Redshift, GCP Big Query, or Hive) experience is required. NoSQL experience is a plus.
• More than 2 years working with Linux OS. Knowledge of networks and cybersecurity is a plus.
• Experience working with infrastructure-as-code systems like AWS CloudFormation. DevOps, AWS and GCP experience is a plus.
• Experience in working with a commercial ETL tools like Ab Initio and Talend would be a plus.
• Experience in ETL pipeline design, implementation and maintenance.
• Experience working with visualization tools (specifically Tableau would be preferred).
• Ability in analysing data to identify deliverables, gaps and inconsistencies.
• Ability in managing and communicating data mart plans to internal customers.

Job Description

Contact Centre Platforms team is responsible for the design, solutioning and implementation of IT applications for contact centres located worldwide, operate 24 by 7. The solutions involve several technology stacks – including but not limited to computer telephony integration and routing capabilities, voice & screen recording and various integration technologies with backend systems. This team aims to deliver high performance and resilient IT applications to contact centres, supported by other IT infrastructure teams such as network, info security etc.

Our current contact centre system is running on Genesys Engage on prem with Workspace Edition 8.5/9. It handles voice and SMS text channels with integration to a case and knowledge management tool that provides a single interface for contact centre agents to handle interactions with customers. We also have a screen and call recording system with speech analytics on Verint. There is on-going exercise for a next new generation contact centre platform that is scalable, flexible and nimble to support dynamic business needs, improve customer experience and effectively manage contact centre operations at an optimal cost.

We are looking for candidate who is having strong IT programming skills and with positive working attitude. This job assignment will allow you to continue strengthen your technical skills while solving the business challenges, with an ideal platform to develop your leadership skill. It will also provide an opportunity to expose yourself to the SIA contact centre domain knowledge and technical skills on how to manage the existing contact centre platforms.

This role is expected to work based on Singapore office hours, at time you will need to work outside of the office hours due to project deployment or to handle incidents.

What you will do:

• Understand business requirements and propose the technical end to end solution for contact centres. This includes working with relevant IT department such as infrastructure, IT security and network teams to validate the solution proposed before presenting solution to architecture committee for approval.
• Work closely with product owner and project team members (within and beyond the squads) on solutioning/project initiation, implementation and post-implementation support which support phases of SDLC and/or Agile/SCRUM sprints/delivery.
• Maintain and modify the existing SIA Genesys call flow codes, covering Genesys GVP VXML and orchestration ORS SCXML codes, along with the maintenance of the Genesys Agent Desktop application used in the contact centres. This also includes developing and maintaining Genesys middleware code integrating of the contact centre platform to various SIA systems such as CRM, booking system etc.PS: Successful candidate will be exposed to the required technical skill related to contact centre platforms.
• Work with Product Owner to prepare / review test scenarios and test cases, support all UAT related activities to verify that the user requirements are met.
• Provide technical guidance to Level 1 support team
• Work with other technical team members to plan on the contact centre software component upgrade
• Troubleshoot and resolve all technical challenges as appropriate in a thorough and timely manner - prior to and after systems are on production.
• Demonstrate good grasp of contact centre technology and future trend.
• Any relevant ad-hoc duties.
• This is an individual contributor role.

Requirements:

• Possess a degree in Information Technology with minimally 2 years of IT projects experience.
• Strong skills in software development tools and techniques including Java, JavaScript,.Net, Web Services, JSON, SQL, C++,Python with cloud based CICD deployment.
• Experience in various project development lifecycles such as SDLC & Agile/SCRUM delivery
• Excellent communication skills to articulate solutions to technical and non-technical audience and get buy-in
• Strong team player with the ability to take ownership and deliver independently
• Possess initiative, drive and excellent attention to detail
• Able to learn fast, work under pressure with tight deadlines and/or multiple projects
• Preferably but not mandatory, with prior working experience to develop the calls routing flow and interactive voice response (IVR). This includes good understanding of the dependent infrastructure setup required for contact centre platforms such as voice gateway and SIP trunks to manage various contact centre hotlines and virtual desktop infrastructure setup, aligning to cyber security landscape respectively. Any prior technical experience to migrate the on prem contact centre system to cloud-based solution will be an added advantage too.
• PS:The job provides an avenue for the successful candidate to learn and equip oneself with the adequate technical knowledge related to contact centre platforms. This could be in forms of on or off the job training.

Job Description

The successful candidate will be part of a dynamic and fast paced environment that is responsible for digitalizing key business processes in Airline Operations – covering Cabin Crew, Pilots, Ops Control and Safety business units.

Key Responsibilities include:

• Develop modern web development and DevOps practices to develop, test, debug and deploy.
• Develop responsive and mobile friendly web design.
• Develop robust solutions with consideration to security, performance, internationalization, and browser-compatibility.
• Designing and developing Microservices.
• Configure, build, and test the application or technical architecture components.
• Work with other developers, designers, and architects to make sure that the configuration and custom components meet application requirements and performance goals.
• Plan and execute all required process steps as defined in our methodologies.
• Anticipate, identify, track, and resolve issues and risks affecting the delivery.
• This is an individual contributor role.

Requirements

• Bachelor's Degree in Computer Science or relevant field
• At least 4 years' experience in full stack development framework
• Ability to gain an understanding of customer process and issues
• Professional certification in Cloud Security, AWS Certification and/ or Cloud-related will be preferred
• Ability to demonstrate excellence in communicating and presenting complex information to technical and non-technical stakeholders, both verbally and in written form
• Technically competent in one or more of the following languages, tools and technologies:
• Cloud-native development including microservices and serverless environment
• Front-end development such as HTML5, CSS3, BootStrap, Javascript, jQuery, React.js, Redux, Ant Design, Amcharts, Node, Struts, etc
• Server-side development such as Java, Python, Spring/Spring Boot, MyBatis, Flask, Redis, SQLAlchemy, Celery, etc
• Data management e.g. Oracle, Amazon Aurora (MySQL)
• Micro Services / Web services, APIs to design Restful services
• Compute, Kubernetes, Openshift Container Platform (OCP) technologies

Job Description

• Using Microsoft technology stacks, i.e Azure services, SharePoint, Power Platform to develop custom applications to fulfil business needs.
• Involve in software delivery lifecycle (i.e., requirements elicitation, estimation/sizing, solution design, development, testing, deployment, post-production support).
• Apply / Setup DevOps best practices and techniques as part of software delivery.
• Improve / Ensure sound security architecture and design of the applications and their environments.
• Plan and carry out data migration and data analysis activities.
• Facilitation / Participation in Agile delivery events (i.e., Planning & Replenishment meetings, Daily Scrum, Team Retrospectives).
• Conduct evangelisation, provide technical consultancy and clinics.
• Able to carry out Azure subscription administration or Power Platform administration will be a plus.

Requirements

• Degree in Information Technology or related fields.
• Minimum 6 years of experience in designing and developing solutions in the domain of Azure services, SharePoint Online, Power Platform preferably as a full-stack developer.
• Strong expertise in Azure App Services, Azure Functions and Azure SQL.
• Strong expertise in DevOps tools for source control management, Pipelines for continuous integration/continuous deployment (CI/CD), Tests Management, Azure Monitor for monitoring and logging, and Azure Resource Manager for infrastructure deployment and management.
• Strong expertise in SharePoint (SPFx), HTML, CSS, JavaScript and React.
• Strong expertise in REST API and Microsoft Graph API.
• Experienced with scripting languages like PowerShell and Bash.
• Experienced in security tools like Azure Security Center, Azure Key Vault and Azure Sentinel.
• Experienced in implementing authentication protocols in applications via Azure Active Directory (AD), OAuth, Single Sign-On (SSO), and Multi-Factor Authentication (MFA).
• Good understanding of SQL Server, T-SQL, and NoSQL, along with expertise in writing and optimizing SQL queries.
• Good understanding of network concepts such as virtual network, DNS, TCP/IP etc. Familiarity with network security protocols like SSL, TLS, SSH, and HTTPS is also required.
• Competencies in Power Platform application development (Canvas App, Model Driven App, Power Pages and Power Automate flows)
• Experienced in relevant platform administration will be an added advantage.
• Has advanced certifications in the relevant domains will be an added advantage.
• Strong critical thinking, numerical, analytical and project management skills.
• Team player with good inter-personal skills.
• Experienced in Agile frameworks like Scrum and Kanban, including facilitation of agile delivery events.

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:

1. Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
2. Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
3. Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
4. Design and develop intuitive, highly automated, self-service data platform functions for business users.

• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:

1. Advanced programming skills in Python. Conversant with data structures and algorithm design.
2. Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
3. Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
4. Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

Job Description

Contact Centre Platforms team is responsible for the design, solutioning and implementation of IT applications for contact centres located worldwide, operate 24 by 7. The solutions involve several technology stacks – including but not limited to computer telephony integration and routing capabilities, voice & screen recording and various integration technologies with backend systems. This team aims to deliver high performance and resilient IT applications to contact centres, supported by other IT infrastructure teams such as network, info security etc.

Our current contact centre system is running on Genesys Engage on prem with Workspace Edition 8.5/9. It handles voice and SMS text channels with integration to a case and knowledge management tool that provides a single interface for contact centre agents to handle interactions with customers. We also have a screen and call recording system with speech analytics on Verint. There is on-going exercise for a next new generation contact centre platform that is scalable, flexible and nimble to support dynamic business needs, improve customer experience and effectively manage contact centre operations at an optimal cost.

We are looking for candidate who is having strong IT programming skills and with positive working attitude. This job assignment will allow you to continue strengthen your technical skills while solving the business challenges, with an ideal platform to develop your leadership skill. It will also provide an opportunity to expose yourself to the SIA contact centre domain knowledge and technical skills on how to manage the existing contact centre platforms.

This role is expected to work based on Singapore office hours, at time you will need to work outside of the office hours due to project deployment or to handle incidents.

What you will do:

• Understand business requirements and propose the technical end to end solution for contact centres. This includes working with relevant IT department such as infrastructure, IT security and network teams to validate the solution proposed before presenting solution to architecture committee for approval.
• Work closely with product owner and project team members (within and beyond the squads) on solutioning/project initiation, implementation and post-implementation support which support phases of SDLC and/or Agile/SCRUM sprints/delivery.
• Maintain and modify the existing SIA Genesys call flow codes, covering Genesys GVP VXML and orchestration ORS SCXML codes, along with the maintenance of the Genesys Agent Desktop application used in the contact centres. This also includes developing and maintaining Genesys middleware code integrating of the contact centre platform to various SIA systems such as CRM, booking system etc.PS: Successful candidate will be exposed to the required technical skill related to contact centre platforms.
• Work with Product Owner to prepare / review test scenarios and test cases, support all UAT related activities to verify that the user requirements are met.
• Provide technical guidance to Level 1 support team
• Work with other technical team members to plan on the contact centre software component upgrade
• Troubleshoot and resolve all technical challenges as appropriate in a thorough and timely manner - prior to and after systems are on production.
• Demonstrate good grasp of contact centre technology and future trend.
• Any relevant ad-hoc duties.
• This is an individual contributor role.

Requirements:

• Possess a degree in Information Technology with minimally 2 years of IT projects experience.
• Strong skills in software development tools and techniques including Java, JavaScript,.Net, Web Services, JSON, SQL, C++,Python with cloud based CICD deployment.
• Experience in various project development lifecycles such as SDLC & Agile/SCRUM delivery
• Excellent communication skills to articulate solutions to technical and non-technical audience and get buy-in
• Strong team player with the ability to take ownership and deliver independently
• Possess initiative, drive and excellent attention to detail
• Able to learn fast, work under pressure with tight deadlines and/or multiple projects
• Preferably but not mandatory, with prior working experience to develop the calls routing flow and interactive voice response (IVR). This includes good understanding of the dependent infrastructure setup required for contact centre platforms such as voice gateway and SIP trunks to manage various contact centre hotlines and virtual desktop infrastructure setup, aligning to cyber security landscape respectively. Any prior technical experience to migrate the on prem contact centre system to cloud-based solution will be an added advantage too.
• PS:The job provides an avenue for the successful candidate to learn and equip oneself with the adequate technical knowledge related to contact centre platforms. This could be in forms of on or off the job training.

Job Description

The successful candidate will be part of a dynamic and fast paced environment that is responsible for digitalizing key business processes in Airline Operations – covering Cabin Crew, Pilots, Ops Control and Safety business units.

Key Responsibilities include:

• Develop modern web development and DevOps practices to develop, test, debug and deploy.
• Develop responsive and mobile friendly web design.
• Develop robust solutions with consideration to security, performance, internationalization, and browser-compatibility.
• Designing and developing Microservices.
• Configure, build, and test the application or technical architecture components.
• Work with other developers, designers, and architects to make sure that the configuration and custom components meet application requirements and performance goals.
• Plan and execute all required process steps as defined in our methodologies.
• Anticipate, identify, track, and resolve issues and risks affecting the delivery.
• This is an individual contributor role.

Requirements

• Bachelor's Degree in Computer Science or relevant field
• At least 4 years' experience in full stack development framework
• Ability to gain an understanding of customer process and issues
• Professional certification in Cloud Security, AWS Certification and/ or Cloud-related will be preferred
• Ability to demonstrate excellence in communicating and presenting complex information to technical and non-technical stakeholders, both verbally and in written form
• Technically competent in one or more of the following languages, tools and technologies:Cloud-native development including microservices and serverless environment
  Front-end development such as HTML5, CSS3, BootStrap, Javascript, jQuery, React.js, Redux, Ant Design, Amcharts, Node, Struts, etc
  Server-side development such as Java, Python, Spring/Spring Boot, MyBatis, Flask, Redis, SQLAlchemy, Celery, etc
  Data management e.g. Oracle, Amazon Aurora (MySQL)
  Micro Services / Web services, APIs to design Restful services
  Compute, Kubernetes, Openshift Container Platform (OCP) technologies

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
   
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

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 include:

• Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines.
• 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.
• 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 Computer Science or a related technical field. MS or PhD degree is a plus.
• Python development experience in production environment is required.
• More than 2 years of SQL (such as PostgreSQL, Oracle, AWS Redshift, GCP Big Query, or Hive) experience is required. NoSQL experience is a plus.
• More than 2 years working with Linux OS. Knowledge of networks and cybersecurity is a plus.
• Experience working with infrastructure-as-code systems like AWS CloudFormation. DevOps, AWS and GCP experience is a plus.
• Experience in working with a commercial ETL tools like Ab Initio and Talend would be a plus.
• Experience in ETL pipeline design, implementation and maintenance.
• Experience working with visualization tools (specifically Tableau would be preferred).
• Ability in analysing data to identify deliverables, gaps and inconsistencies.
• Ability in managing and communicating data mart plans to internal customers.

Job Description

SIA has multiple positions for senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 2 or more years of relevant industry experience as a hands-on data scientist/AI engineer in shallow and deep learning (you should be very familiar with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.