Total 33 qa specialist job vacancies in Engineering category in The United States of America

Your new company

Client is a public corporation seeking to hire a 2-year Mechanical Project Engineer.

Your new role

The role is to be based at Senoko, in Singapore. The role includes the planning and management of a programme of Mechanical and mixed trades projects carried out on the facilities operated and maintained by the company, ensuring that all work is executed on time and to budget/estimates and in full compliance with company standards and applicable legislation.

The Mechanical Project Engineer will have responsibility for all stages of development and implementation of several projects and/or engineering across the Singapore estate.

• Lead the management and inspection of Static Equipment to include pipelines, tanks, vessels, and associated equipment.
• Develop Mechanical scopes of work at concept, FEED, and detailed design level,
• Develop budgets and forecasts for programme of work,
• Liaise with other members of the Asset Technical Team on standards & codes,
• Produce detailed programme of works/Gantt charts etc,
• Working knowledge of COMAH, MOC, and CDM regulations,
• Previous experience of managing multiple site works.
• Supervise and function as client’s representative on tank inspection works

What you'll need to succeed

• Have extensive experience of leading direct and indirect technical engineering projects and Stakeholder groups / teams engaged in the delivery of complex projects within demanding time, quality, and cost constraints,
• Able to demonstrate good management / people relationship skills, in particular team management and dealing with Contractors,
• Solid understanding of good project management principles; able to act as an “intelligent client.”
• Working knowledge of current local legislation and best practice relating to industry such as API, EEMUA, ASME, ATEX, BS, PSLG, COMAH, CDM etc.

What you'll get in return
This is an exciting opportunity to join a public corporation in Singapore. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Ernie at Hays on +65 6424 0157 or email Ernieza.Zailani@hays.com.sg for a confidential discussion.

Referrals are welcome.

Registration ID No. R1329386 | EA License number: 07C3924 | Company Registration No. 200609504D

A leading technology organisation is seeking a Senior AI Engineer AWS/ GCP Cold with 2-4 years of hands-on experience in AI solution development, particularly in AI solution design, development and deployment.

Your new role

Your new role as a Senior AI Engineer, you will be responsible for:

Key Responsibilities:

• Write efficient and maintainable code following best practices in software engineering.
• Working with DevSecOps tools for deploying and versioning code.
• Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies.
• Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
• Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup.
• Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
• Algorithm Optimization - Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.
• Present findings and insights to stakeholders and contribute to strategic decision-making.
• Document AI models, algorithms, and processes thoroughly.
• Prepare technical reports and presentations to communicate results and methodologies.
• Stay up to date with the latest advancements in AI and machine learning technologies.
• Participate in Agile ceremonies with the team to execute on prioritized projects and features.
• Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.

Education:

• Candidates are evaluated case-by-case but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, and Bioinformatics.

What you'll need to succeed

• 2-5 years of experience in AI Engineering.
• Strong programming skills in Python.
• Familiar in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
• Familiar with CI/CD and test-driven development
• Experience in building Restful APIs for AI models.
• Familiar with of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
• Familiar with Retrieval Augmented Generation (RAG) techniques
• Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
• Strong communication and collaboration skills.
• Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.

Preferred:

• Experience working in an Agile Methodology.
• Additional programing languages such as Node.js / TypeScript, C#, or Java
• Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
• Experience with AWS Cloud.
• Experience with building, deploying, and managing docker images.

What you'll get in return
In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.Wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.
If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.
EA Reg Number: R1988154
EA License Number: 07C3924 | Company Registration No: 200609504D

Your new company
Our client, a Class A1 General Builder Contractor firm, has diversified interests in construction, engineering, manufacturing, and trading. Their construction division specializes in building iconic landmarks, infrastructure projects, and residential developments, while their engineering expertise spans electrical, mechanical, and civil disciplines. In response to their recent growth and expansion, they are currently seeking to augment their team with the addition of a Senior Electrical Engineer.

Your new role
A few of your responsibilities would be;

· Deliver projects within scope, time, cost, and quality constraints.

· Interpret technical designs and drawings for on-site construction.

· Ensure compliance with regulations and client specifications.

· Coordinate M&E services and prepare CSD/SEM drawings for submission.

· Integrate Civil, Architectural, and M&E works on-site with stakeholders.

· Plan and monitor work schedules for timely task completion.

· Prepare progress reports for clients and project managers.

· Provide technical advice and resolve M&E technical issues.

· Coordinate site inspections and ensure safety and housekeeping standards.

· Adhere to safety and health regulations, aiming for zero accidents.

What you'll need to succeed

· Bachelor's Degree in Mechanical or Electrical Engineering.

· At least 4 years of experience in a related field.

· Understand safety and quality standards.

What you'll get in return
You'll be offered career development opportunities, succession planning, and, on the job training will definitely be given to you. You’d also have an amazing team supporting you throughout your career.

What you need to do now
If you feel like you meet the above requirements or know someone who does, then click on the link to apply, or you may send your application/referral directly to me at aloysius.loh@hays.com.sg.

If this job isn't quite right for you but you are looking for a new position, please contact me for a confidential discussion on your career.

EA Reg Number: R24121320 | EA License Number: 07C3924 | Company Registration No: 200609504D

A leading technology organisation is seeking a Senior AI Engineer (LLM / NLP)​ with 2-5 years of hands-on experience in NLP solution development, particularly in NLP solution design, development and deployment.

The role involves applying NLP knowledge to develop Gen AI solutions, leveraging on a machine learning framework, not limited to Tensorflow, Py-torch, etc.... Responsibilities include designing, developing, and deploying NLP solutions using cutting-edge techniques and technologies in cloud or on-premises environments. Participating in code reviews, architecture discussions, team meetings, and creating comprehensive documentation is expected. For senior staff positions, providing training and support to team members on software development practices and technologies is required.

Your new role

Your new role as a Senior NLP Engineer (LLM /NLP), you will be responsible for:

• Work closely with subject-matter experts to incorporate NLP components into existing systems and applications.
• Conduct independent research to refine and enhance product evaluation suites, ensuring accurate measurement of model and product performance.
• Engage in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training.
• Assess and compare different NLP techniques and tools to pinpoint the most effective approach for specific tasks.
• Execute thorough testing and validation procedures on NLP models to guarantee their resilience and dependability. Responsible from design to deployment of AI, ML, NLP and LLM solutions, knowledge of industry trends
• Work with advanced machine learning models, focus on large language models like chatbot/ GPT
• Conduct research and development projects within AI that align with our strategic objective
• Experience in end-to-end development/deployment of machine learning models in production using PyTorch or Tensorflow, experience with cloud platforms like AWS, Azure/ Google Cloud

What you'll need to succeed

• Degree holder in Computer Science, AI/ Machine Learning or a related field.
• 2–5 years’ experience in AI/ AML / NLP/ LLM, experience in applying these technologies to commercial projects.
• Experience of fine-tuning large language models, coding experience with big data tools including Python/ Java/ R/ Scala, use of TensorFlow, PyTorch and other machine learning Frameworks.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Gensim, LangGraph,LlamaIndex)
• Proficiency in relevant GenAI frameworks (e.g., LangChain, LlamaIndex, Llamafactory)
• Knowledgeable with cloud platforms (AWS, GCP, or Azure cloud)
• Proven experience of handling project delivery in a multicultural environment, excellent problem-solving and analytical skills and working with cross-function teams
• Experience with specific NLP tasks such as text classification, named entity recognition, sentiment analysis, or question answering.
• Knowledge of natural language understanding (NLU) and natural language generation (NLG).
• Experience with producing NLP models and addressing real-world challenges.

What you'll get in return
In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.Wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.
If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.
EA Reg Number: R1988154
EA License Number: 07C3924 | Company Registration No: 200609504D

An exciting new Mechanical Design Engineer position for a global market leader in the Water Technology Industry

Your new company:

A prominent water technology firm delivers innovative solutions for water management and treatment worldwide. With a global presence, they provide cutting-edge technologies and services for various industries, enhancing water quality and efficiency. Their expertise spans industrial, municipal, and commercial applications, addressing critical water challenges. Through continuous innovation and strategic collaborations, they advance sustainable water practices, positively impacting the environment, public health, and communities.

Your new role :

• Design and develop mechanical systems, components, and processes, including injection molds.
• Analyze data to optimize manufacturing processes and improve product quality.
• Collaborate with cross-functional teams, suppliers, and vendors.
• Ensure compliance with quality and safety standards.
• Develop and implement design improvements.
• Conduct simulations and analysis (e.g., moldflow, finite element).
• Create detailed designs, prototypes, and testing plans
• Interact with internal customers and stakeholders.
• Establish parameters for optimal manufacturing environments.
• Identify and resolve design flaws.
• Develop and maintain technical documentation.
• Stay up-to-date with industry trends and best practices.

What you'll need to succeed:

• Bachelor's/Master's degree in Mechanical Engineering or related field.
• Experience with injection mold design and development.
• Proficiency in CAD software (e.g., SolidWorks, Autodesk).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

What you'll get in return:

You'll be offered career development opportunities, succession planning and on the job training will definitely be given to you. You'd also have an amazing team supporting you throughout your career.

What you need to do now:

If you feel like you meet the above requirements or know someone who does, then click on the link to apply, or, you may send your application/referral directly to me at yuki.oyama@hays.com.sg.

If this job isn't quite right for you but you are looking for a new position, please contact me for a confidential discussion on your career.

EA Reg Number: R21100565 | EA License Number: 07C3924 | Company Registration No: 200609504D

A leading technology organisation is seeking an AI Engineer - Speech/ Image recognition Engineer to join their team.

Your Company

As an AI Engineer, you will research, develop, and deploy AI solutions across speech processing, computer vision, and multimodal systems, addressing business challenges and enhancing product features

Your new role

• Develop AI algorithms in areas such as speech recognition, voice synthesis, text-to-image generation, and multimodal AI
• Implement models using deep learning frameworks (e.g., TensorFlow, PyTorch) and optimize for high performance
• Stay updated on AI advancements, applying them to solve real-world problems
• Provide AI solutions for business needs, collaborating with cross-functional teams to deploy models
• Continuously improve model accuracy and efficiency based on the latest research

What you'll need to succeed

• Minimum Bachelor's or Master's in Computer Science, AI, Signal Processing, Computer Vision, or a related field
• Experience in deep learning frameworks (TensorFlow, PyTorch) and familiarity with speech or computer vision libraries
• Expertise in speech processing, text-to-image generation, or multimodal AI
• Strong problem-solving skills and experience optimizing algorithms
• Excellent teamwork and communication skills

Preferred Experience

• AI-powered applications in industries like live broadcasting or digital content.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.Wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

A leading technology organisation is seeking an DevOps Engineer to join their team.

Your Company

We seek individuals with highly skilled DevOps Engineer with conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success

Your new role

• Developing and maintaining the entire DevOps pipelines.
• Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding.
• Work with the vendors and for internal platforms to setup centralized DevOps solutions considering market best practice, Industry standard and ease of support.
• Work with the vendors and for internal platforms to upgrade the DevOps tools farm and integrating with tools.
• Manage the development of the internal engineering productivity tools and environments
• Providing DevOps architecture implementation and operational support
• Architecture and planning for cloud deployments (Private and Public cloud);
• Be an innovative and hands-on DevOps engineer capable of looking at both the technology and strategy around the platform
• Lead analysis and resolution of root cause for Test Orchestration / Environment related issues
• Ability to multitask and work in a fast-paced, collaborative team environment.
• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills
• Stays current with industry trends and leads development of key DevOps, Runtime, and Operational innovation platforms.

What you'll need to succeed

• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA and Confluence).
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Skill to containerize a application and good if Kubernetes
• Strong scripting skills e.g. Python, Bash, JavaScript
• Cloud computing deployment and management experience - AWS, Azure
• Prior technical background on different build and branching strategies.
• Deep technical background on Kubernetes deployment process.
• Good knowledge on maintaining/deploying secrets in Kubernetes.
• Prior working experience in setting up Jira workflow.
• Strong hands-on experience on Shell or Groovy scripting.
• Prior experience is customizing JIRA and Setting up confluence spaces.
• Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.
• Hand on experience in setting up DevOps governance, Security standards and audit requirements.
• Prior experience in setting up DevOps pipeline in internal and external cloud offerings.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.Wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

A MNC technology organisation is seeking a NLP Developer to join their team.

Your new company

We are seeking a highly skilled and experienced Natural Language Processing (NLP) Engineer to join our innovative team. As an NLP Engineer, you will be responsible for developing and implementing cutting-edge algorithms and models to process and understand human language. You will collaborate with data scientists, software engineers, and domain experts to build robust NLP solutions that extract insights from textual data and enable advanced language-based applications. The ideal candidate will have a strong background in NLP, machine learning, and programming, along with a passion for solving complex language-related challenges.

Your new role

As NLP Engineer in the engineering team, you will be responsible for:

• Design, develop, and implement NLP algorithms, models, and techniques to extract meaning, sentiment, intent, and other linguistic features from textual data.
• Collaborate with cross-functional teams to define project requirements and objectives, and translate them into technical solutions.
• Collect, preprocess, and analyze large volumes of text data to train and evaluate NLP models, leveraging machine learning techniques.
• Develop and optimize machine learning models for tasks such as text classification, named entity recognition, sentiment analysis, question answering, and information extraction.
• Conduct research and stay updated with the latest advancements in NLP and machine learning, identifying opportunities for innovation and improvement.
• Perform feature engineering, feature selection, and hyperparameter tuning to enhance model performance and accuracy.
• Implement and deploy NLP solutions into production systems, ensuring scalability, reliability, and maintainability.
• Collaborate with software engineers to integrate NLP components into larger software systems or platforms.
• Conduct experiments and evaluations to assess the performance and effectiveness of NLP models and algorithms, iterating and refining as needed.
• Stay abreast of industry standards and best practices for data privacy, security, and ethical considerations in NLP applications.
• Document research findings, methodologies, and technical specifications to facilitate knowledge sharing and collaboration.
• What you'll need to succeed
• Master/ Bachelor’s degree in computer science, Information Systems, Engineering, Math or related technical field.
• 2-4 years experience in the following areas:
• Proficiency in programming languages such as Python and Java
• Experience with designing and developing microservices architecture.
• Proficiency in deploying and managing applications using Kubernetes.
• Familiarity with version control systems, CI/CD practices
• Hands-on experience with AWS Bedrock and Azure OpenAI services.
• Experience with large language models (LLMs) and multimodal models.
• Proven experience as an NLP Engineer with a track record of successfully implementing NLP solutions and models.
• Strong understanding of NLP concepts, techniques, and algorithms, including but not limited to text representation, word embeddings, sequence modeling, and deep learning architectures (e.g., LSTM, Transformer).
• Proficiency in programming languages commonly used in NLP, such as Python and libraries like NLTK, spaCy, scikit-learn, TensorFlow, or PyTorch.
• Experience in training and evaluating NLP models using large datasets and machine learning frameworks.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

A leading technology organisation is seeking a Senior AI Engineer to join their team.

Your Company

A leading Technology MNC is looking to hire a Senior AI Engineer to join the team.

Your new role

• Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
• Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback.
  This will include embedding, chunking, loading, and search algorithm setup.
• Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
• Algorithm Optimization - Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.Migrated cloud usage from AWS to GCP.
• Created a modular monolith fastapi server and all its development automation.
• Setup, configure & maintain all AWS & GCP cloud infrastructure.
• Designed and developed highly scalable templates for Pulumi's IAC

What you'll need to succeed

• 3-5 years of experience in AI Engineering.
• Strong programming skills in Python.
• Experienced in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
• Experienced with CI/CD and test-driven development
• Experience in building Restful APIs for AI models.
• Experience in designing scalable AI Solutions
• Solid understanding of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
• Familiar with Retrieval Augmented Generation (RAG) techniques
• Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
• Excellent communication and collaboration skills.
• Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.
  • Additional programing languages such as Node.js / TypeScript, C#, or Java
  • Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
  • Experience with AWS Cloud.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.Wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

We are seeking a forward-thinking Azure Platform Engineer to join our dynamic team. As a Platform Engineer, you will be a key player in designing, implementing, and maintaining cutting-edge Azure-based solutions.

Key Responsibilities:

· Collaborate with development and operations teams to design, deploy, and maintain Azure-based solutions.

· Utilize Bicep and Terraform for Infrastructure as Code to automate the provisioning and management of Azure resources.

· Manage YAML configurations for various deployment processes.

· Deploy and manage monitoring metrics and logging capabilities across systems and applications.

· Championing innovation through containerization and Kubernetes.

· Collaborate with the security team to implement and enforce security best practices across Azure environments.

· Apply industry standards and best practices to ensure system and application security.

· Design, implement, and optimize Azure networking solutions, ensuring high performance, availability, and security.

· Take ownership and be a central point of contact for any reported issues, ensuring communication is both regular and professional.

· Promote and foster a collaborative culture, Platform Engineering team is engrained into all facets of the Cloud Landscape

· Contribute to the maintenance and grooming of the backlog for the Platform engineering delivery workstream.

· Design and build cloud infrastructure for high availability, disaster recovery and business continuity while ensuring reliability, elasticity, and security.

· Deliver agile and innovative cloud solutions that take advantage of technological advances to allow for cost reduction, standardisation, and commoditisation.

· Support the delivery of new applications and upgrades through cloud enablement, orchestration, and automation.

· Contribute to the development and improvement of processes and technology standards across the cloud infrastructure and security domains.

· Collaborate with relevant teams to deliver on-going cloud infrastructure enhancements.

· Keep abreast of the latest advances in cloud platforms and services.

· On-board new cloud technologies/services and challenge existing designs or implementations

Technical Skills

· Proven experience as an Azure Platform Engineer or similar role ie DevOps Engineer.

· Strong experience with Infrastructure as Code using Bicep, ARM or Terraform.

· Experience with Azure DevOps as a CICD tool, able to maintain pipeline repos spanning across multiple projects.

· Proficient in managing YAML configurations for deployment processes.

· In-depth knowledge of Azure networking, including VNet, Subnet, ExpressRoute, and VPN configurations.

· High understanding of cloud infrastructure designs, patterns, and best practices.

· Experience with Microsoft 365, Azure PaaS and IaaS, Infrastructure as Code (IaC), test-driven development, and automated CI/CD.

· Proficiency in PowerShell scripting for automation and configuration management.

· Solid understanding of Azure Active Directory, including identity and access management.

· Experience with containerization tools such as Docker and orchestration with Kubernetes.

· Experience with cloud-focussed logging and monitoring tools (preferably using Azure Monitor with Application Insights and Log Analytics).

· Awareness of security control techniques, such as access controls, defence in depth, security-shift-left etc., and how they can be applied in cloud-based systems as well as traditional IT environments.

· Technical proficiency with scripting and automation (using PowerShell and/or Python).

· Experience with Microsoft Intune for endpoint management.

· Excellent verbal and written communication skills.

· Knowledge of ITIL framework, certification an advantage.

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D

We seek a Senior Bi Engineer to design, develop, and maintain dynamic Power BI dashboards and reports. The ideal candidate will have strong data analysis skills, an understanding of business intelligence (BI) concepts, and experience working with large datasets. They will work closely with cross-functional teams to deliver actionable insights and visualizations.

Key Responsibilities:

· Design, develop, and implement Power BI solutions based on business requirements.

· Collaborate with stakeholders to gather and understand reporting and visualization needs.

· Build and publish interactive dashboards with key performance indicators (KPIs) and visuals for various departments.

· Transform raw data into meaningful insights, using Power Query, DAX, and Power BI data modeling.

· Integrate data from multiple sources, including relational databases, cloud platforms, and other BI tools.

· Optimize and maintain existing Power BI reports and ensure data accuracy and performance.

· Collaborate with the IT team to ensure smooth data pipeline operations.

Required Skills:

· Proficiency in Power BI Desktop, Power BI Service, and Power BI Report Server.

· Strong knowledge of DAX (Data Analysis Expressions) and Power Query.

· Hands-on experience with data modeling, data transformation, and reporting.

· Expertise in SQL querying and relational databases (e.g., SQL Server, Oracle, etc.).

· Experience in data integration from various sources like Excel, APIs, and third-party tools.

· Understanding of ETL (Extract, Transform, Load) processes.

· Familiarity with Azure Data Services (e.g., Azure Data Factory, Azure Synapse Analytics) is a plus.

· Strong problem-solving and critical-thinking skills.

· Experience with Agile methodologies is a plus.

· Excellent communication skills and the ability to work with cross-functional teams.

Registration ID No. R1873584 | EA License number: 07C3924 | Company Registration No. 200609504D

We are seeking a forward-thinking Azure Platform Engineer to join our dynamic team. As a Platform Engineer, you will be a key player in designing, implementing, and maintaining cutting-edge Azure-based solutions. The successful candidate will work within the IT Operations realm to support, develop and secure our cloud infrastructure, services, and solutions.

Role:

· Collaborate with development and operations teams to design, deploy, and maintain Azure-based solutions.

· Utilize Bicep and Terraform for Infrastructure as Code to automate the provisioning and management of Azure resources.

· Manage YAML configurations for various deployment processes.

· Deploy and manage monitoring metrics and logging capabilities across systems and applications.

· Championing innovation through containerization and Kubernetes.

· Collaborate with the security team to implement and enforce security best practices across Azure environments.

· Apply industry standards and best practices to ensure system and application security.

· Design, implement, and optimize Azure networking solutions, ensuring high performance, availability, and security.

· Take ownership and be a central point of contact for any reported issues, ensuring regular and professional communication.

Skills required:

· Proven experience as an Azure Platform Engineer or similar role ie DevOps Engineer.

· Strong experience with Infrastructure as Code using Bicep, ARM or Terraform.

· Experience with Azure DevOps as a CICD tool, able to maintain pipeline repos spanning across multiple projects.

· Proficient in managing YAML configurations for deployment processes.

· In-depth knowledge of Azure networking, including VNet, Subnet, ExpressRoute, and VPN configurations.

· High understanding of cloud infrastructure designs, patterns, and best practices.

· Experience with Microsoft 365, Azure PaaS and IaaS, Infrastructure as Code (IaC), test-driven development, and automated CI/CD.

· Proficiency in PowerShell scripting for automation and configuration management.

· Solid understanding of Azure Active Directory, including identity and access management.

· Experience with containerization tools such as Docker and orchestration with Kubernetes.

· Experience with cloud-focused logging and monitoring tools (preferably using Azure Monitor with Application Insights and Log Analytics).

What you need to do now

If you're interested in this role, click 'apply now'

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D

Your new company

This is an energy and power provider firm.

Your new role

• Network security management (e.g. intrusion prevention system, virtual private network)
• Web security management (e.g. URL filtering, web application firewall)
• End point security management (e.g. anti-malware, device control, application control, data loss prevention or network access control)
• Messaging security management (e.g. anti-malware, anti-spam, content filtering)

What you'll need to succeed

• 5 years of experience that covers management of enterprise security solution
• Experience in implementation and integration of Cyber Security Platform
• Possess knowledge across various information security technologies/areas in a large enterprise including firewalls, intrusion detection, encryption, Linux O/S, Windows O/S, databases, antivirus, patch management, vulnerability scanning, backup, logging and monitoring, remote access, application development, network security, application security, and change management.

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call Shabnam at Hays on +65 60271964 or email Shabnam.Bahar@hays.com.sg for a confidential discussion.

Referrals are welcome.

Registration ID No. R1873584 | EA License number: 07C3924 | Company Registration No. 200609504D

A leading technology organisation is seeking a Senior/ AI Engineer (LLM / RAG)to join their team.

Your new company

You will be responsible for leading the Senior/ AI Engineer (LLM / RAG) from development to deployment, working with cross-function teams.

Your new role

As a Senior AI Engineer (LLM / RAG) , you will be responsible for:

• Lead the design and deployment of NLP and LLM solutions, knowledge in industry trend on AL, ML, NLP & LLM.
• Work with advanced machine learning models, focus on large language models like chatbot/ GPT
• Conduct research and development projects within AI that align with our strategic objective
• Experience in end-to-end development/deployment of machine learning models in production using PyTorch or Tensorflow, experience with colud platform like AWS, Azure/ google cloud

What you'll need to succeed

• Degree holder in Computer Science, AI/ Machine Learning or a related field.
• 3-5 years’ experience in AI/ AML / NLP/ LLM, experience in applying these technologies to commercial projects.
• Experience of fine-tuning large language models, coding experience with big data tools including Python/ Java/ R/ Scala, use of TensorFlow, PyTorch and other machine learning Frameworks.
• Knowledgeable with cloud platforms (AWS, GCP, or Azure cloud)
• Proven experience of handling project delivery in a multicultural environment, excellent problem-solving and analytical skills and working with cross-function teams

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

A leading technology organisation is seeking a NLP Engineer to join their team.

Your new company

We're seeking a skilled Natural Language Processing Engineer to join our dynamic team. The ideal candidate should have a deep understanding of machine learning models, and a passion for transforming raw data into useful information. You will be responsible for designing and implementing NLP systems, improving data quality, and driving insights from complex data.

Your new role

As NLP Engineer in the engineering team, you will be responsible for:

• Design, develop, and implement NLP systems.
• Understand, interpret, and analyse data using statistical techniques.
• Improve data quality and efficiency by developing new data collection and processing systems.
• Collaborate with data scientists and engineers to improve system performance.
• Stay updated with the latest industry trends and advancements in NLP.

What you'll need to succeed

• A degree in Computer Science, Machine Learning, or a related field.
• Proven experience with NLP libraries like NLTK, SpaCy, or Stanford NLP.
• Experience in GenAI Framework Llama, LangChain, RAG, NER, JER
• Proficiency in Python or Java.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and a love for technical challenges.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Jessica.Wong@hays.com.sg for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D