Total 4,948 production engineer job vacancies in Engineering category in The Philippines

Job Responsibilities:

• Responsible for leading the planning and design of Mechanical engineering works for building services and infrastructure works.
• Review reports, specifications, calculations, drawings and other documents prepared for the different stages of a project.
• Supervise the installation, testing and commissioning of Mechanical engineering works.
• Work together with other disciplines in feasibility studies and design, as well as to ensure excellent service delivery to Clients.
• Job Title will correspond with project experience acquired and individual competency in technical knowledge/skills, project management and contract administration.

Job Requirements:

• Degree in Mechanical Engineering recognised by the Professional Engineers Board, Singapore.
• Preferably 7 years and above relevant experience in Mechanical engineering design for building services and infrastructure works.
• Good working experience in a consulting firm with a proven track record in major development projects.
• Conversant with local codes and regulations, and authority submission procedures.
• Strong planning, organizational and supervisory skills.
• Knowledge of AutoCAD and/or Autodesk Revit is advantageous.

Senior Civil & Structural Engineer

• HQ at Changi Business Park [ Expo MRT ]
• Work both in the office and at project sites
• Mon to Fri, from 8.30am to 5.15pm
• Salary is $5,000 - $6,500 + Variable Bonus [ No AWS ]

Job Requirements

1. Bachelor's Degree in Civil Engineering, Building Construction Management, or a related field.
2. Minimum of 5-7 years of experience in building construction, with substantial experience working for A1 Main Contractors
3. Experience managing large-scale commercial or industrial projects is a plus.

Key Responsibilities

• Lead the planning, execution, and management of construction projects from initial stages through to completion, ensuring alignment with project objectives.
• Collaborate closely with the Project Manager to develop detailed project schedules, track progress, and implement corrective actions to meet deadlines.
• Work with architects and engineers to review construction plans, ensuring designs are feasible and compliant with regulatory requirements.
• Conduct thorough feasibility studies and risk assessments to proactively identify potential challenges and provide innovative solutions as needed.
• Ensure adherence to quality standards and specifications through regular site inspections, monitoring construction activities, and addressing any non-compliance issues.
• Supervise day-to-day construction operations, ensuring on-time completion and adherence to budget constraints while maintaining exceptional quality and safety standards.
• Develop and enforce comprehensive site safety plans and protocols, working in tandem with safety personnel to foster a culture of safety within project teams.
• Monitor and analyse project expenditure, assisting in the preparation of budget forecasts to ensure financial objectives are met.
• Other duties as assigned by the HOD - Engineering or Project Management Team.

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

• Minimum 2–5 years of experience in automation testing.
• Strong hands-on experience in:
• Playwright with TypeScript/JavaScript for web UI automation.
• Karate Java Framework for REST API automation.
• Good understanding of API testing concepts (HTTP methods, headers, authentication, JSON/XML payloads).
• Experience in Bitbucket for version control.
• Strong debugging and analytical skills.

Opcode Identification for NDC Message Creation
Execute test cases and identify the exact OP codes required. Map each test case to the identified OP codes for complete traceability. Provide OP code inputs to the Development team for accurate NDC message creation. Validate that the NDC messages created align fully with test case requirements.

Test Data Preparation for Automation
Prepare required test data (cards, accounts, CINs) for each automation scenario. Verify data readiness and correctness in the test environment before execution. Maintain a reusable pool of validated test data for regression cycles.

Running Automation & Failure Analysis
Execute automation suites once the framework is ready. Analyses failures using logs, API responses, and data validation. Coordinate with Technology and DN teams to identify root causes. Ensure identified issues are resolved to prevent repeat failures.

Automating Test Data Creation
Build utilities/scripts to automate creation of cards, accounts, and CINs. Eliminate repetitive manual effort in test data preparation. Enable on-demand data creation to speed up regression execution

• Perform End User Support – Client Management
• Perform troubleshooting for client platform related problems.
• Respond promptly to incident, investigate & provide temporary &/or permanent resolution of incidents escalated. Provide timely status updates to relevant parties.
• Perform service request related to client platforms.
• Monitor the agreed service level, document & maintain the configuration of the systems; provide regular reporting to relevant parties.
• Involve in client platform implementation/upgrade project.
• Perform follow-up with vendor on replacement of hardware.
• Perform asset management & update asset records.
• Perform user account management (eg. Create password, reset & delete)
• Perform local server administration to facilitate software distribution & patch management service.
• Manage client platform implementation / upgrade project.
• Ensure deliverables meet service level requirement. Propose and implement action plan when required.
• Established facility management standards/best practices to ensure operation consistency across project / facility management teams.
• Submit progress reports

Responsibilities:

• Design, development, testing and support of firmware/embedded software applications for microcontroller based wireless systems.
• Develop software communication protocols for wireless communication systems
• Drive technology/development projects in all phrases from specification to release.
• Read or understand electronics schematic and system design.
• Work closely with cross functional teams to ensure project delivery on time.
• Define and create product software specification including software architecture, feature descriptions and applications notes of the system
• Research technical issues and/or opportunities and provide recommendations.
• Participate in ad hoc software projects and assignments as required.

Requirement:

• Degree in Electronic/Electrical/Computer Engineering/Computer Science, Software Engineering or related fields.
• Minimum 3-5 years of experience in real time embedded system
• Must process strong knowledge of C/C++ language
• Experience with Arm, Cortex based microcontroller is required
• Strong Knowledge of the communication transport protocol like I2C, SPI, UART and USB
• Understanding of the Bluetooth protocol and stack is a plus.
• Familiarity with DSP programming is an added advantage
• Excellent teamwork skills, flexibility, and ability to handle multiple tasks.
• Able to manage one's own time efficiently

Overview

This role is responsible for building, maintaining, and securing the platform infrastructure that enables data ingestion from multiple enterprise and government data sources.

The successful candidate will ensure reliable, scalable, and secure connectivity between external systems and the platform, supporting the delivery of actionable cyber asset intelligence and vulnerability management capabilities.

The role plays a key role in agency onboarding, platform integration, infrastructure operations, and ongoing platform reliability.

Responsibilities

Agency Technical Onboarding

• Prepare technical onboarding requirements, including service accounts, API credentials, permissions, and network connectivity requirements.
• Provide technical guidance on integration prerequisites and credential provisioning.
• Act as the primary technical contact during onboarding and integration activities.
• Troubleshoot connectivity, authentication, and access-related issues.

Platform Integration & Connector Management

• Configure and deploy data connectors and integrations.
• Monitor data ingestion pipelines and resolve failures or data quality issues.
• Maintain and update connector configurations as requirements evolve.
• Collaborate with Data Engineers to ensure successful data ingestion and downstream processing.

Infrastructure Operations

• Provision, maintain, patch, and scale platform infrastructure.
• Manage network connectivity, including firewalls, VPNs, proxies, and related configurations.
• Ensure compliance with security standards and operational policies.
• Monitor system performance, availability, and capacity.
• Respond to incidents, outages, and operational issues.

Platform Lifecycle & Change Management

• Support platform setup, environment provisioning, and operational readiness activities.
• Contribute to platform architecture and technical design decisions.
• Develop and maintain operational runbooks, technical documentation, and standard operating procedures.

Requirements

Essential Skills & Experience

• Minimum 3 - 7 years of experience in Infrastructure Engineering, Platform Engineering, or Systems Administration.
• Experience working with data integration platforms, APIs, connectors, or ETL/ELT solutions.
• Strong understanding of networking concepts, including firewalls, DNS, proxies, and VPNs.
• Experience managing service accounts, API credentials, certificates, and access controls.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Strong troubleshooting skills across network, authentication, and application layers.

Preferred Skills & Experience

• Experience with cyber asset management or IT asset platforms. (e.g., Axonius, Armis,
  ServiceNow CMDB, Qualys)
• Understanding of cybersecurity concepts such as attack surface management, vulnerability management, and asset discovery.
• Familiarity with cloud environments and shared enterprise services.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, or ELK.
• Experience working in cross-functional teams alongside Data Engineers, Business Analysts, and other technical stakeholders.

Key Competencies

• Technical Problem Solving: Ability to diagnose and resolve complex infrastructure and integration challenges effectively.
• Security Mindset: Applies secure-by-design principles, least-privilege access, and security best practices.
• Operational Excellence: Maintains reliable and scalable systems through monitoring, documentation, and incident management.
• Collaboration & Communication: Works effectively with technical and non-technical stakeholders to deliver successful outcomes.
• Adaptability: Comfortable operating across diverse environments, technologies, and stakeholder groups.

Key Responsibilities

• Analyse and optimize manufacturing processes to improve productivity, efficiency and product quality.
• Partner with Engineering, Production, Materials, Systems and Maintenance teams to resolve manufacturing issues and improve operational performance.
• Support the implementation of new manufacturing processes, production plans and engineering projects.
• Drive continuous improvement initiatives across manufacturing operations.
• Monitor and improve manufacturing KPIs, including:QualityProduction volumeProcess capacityManufacturing efficiencyProduct integrityProduct certificationCostInventory performance
• Prepare operational reports and present findings to management.
• Support cycle time reduction and capacity improvement initiatives.
• Collaborate with cross-functional stakeholders to achieve manufacturing and business objectives.
• Ensure compliance with company quality standards and manufacturing procedures.

Requirements

• Diploma or Degree in Mechanical, Manufacturing, Industrial or related Engineering discipline.
• At least 3 years of relevant Industrial Engineering or Manufacturing Engineering experience.
• Prior experience in Server Manufacturing, Electronics Manufacturing, Semiconductor or High Precision Manufacturing will be advantageous.
• Knowledge of manufacturing process optimization, production planning and continuous improvement methodologies.
• Strong analytical, problem-solving and communication skills.
• Able to work independently while collaborating effectively across multiple departments.
• Proficient in Microsoft Excel and manufacturing data analysis.

What's on Offer

• Competitive salary package
• Permanent opportunity with an established MNC
• Comprehensive employee benefits
• Stable business with strong growth
• Structured training and career progression
• Collaborative and professional working environment
• Convenient Tampines location

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities. 

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application. 

**We regret to inform that only shortlisted candidates would be notified

Interested applicants may click APPLY NOW!

Talentvis Singapore Pte Ltd | EA License No: 04C3537
EA Personnel Name: Ong Hui Shan (Gwen) | EA Personnel No: R1767800

Our esteemed client in the IT industry is seeking a Full Stack Engineer (React/ Node.js) to join their dynamic team:

• Employment Type: 1-year renewable contract
• Position: Full Stack Engineer (React / Node.js)
• Location: Central
• Working Hours: Monday to Friday, Office Hours
• Salary Package: Basic + Bonus + Medical Benefits

Job Responsibilities:

• Provide technical oversight for the web portal post-migration, troubleshooting issues related to UI/UX rendering, CMS templates, API integrations, and data ingestion to ensure a smooth transition into steady-state operations.
• Develop and implement new front-end components using React/Next.js and back-end logic using Node.js/TypeScript. This includes building complex data checkers, search tools, and personalized user features.
• Design and maintain secure integrations with internal back-end systems, external datasets, and secure file transfer protocols, ensuring the robust handling of API keys and tokens.
• Configure modules, workflows, and metadata within a headless CMS environment (Directus or similar), ensuring the platform remains intuitive for content and product teams.
• Lead UAT defect resolution and implement automated testing suites. Ensure all code meets strict accessibility (WCAG), performance, and security standards (including VAPT remediation).
• Actively participate in agile ceremonies (sprint planning, retrospectives) and collaborate with designers, product owners, and QA teams using GitLab for version control and CI/CD.
• Maintain comprehensive technical documentation, including system architecture updates and release notes.

Job Requirements:

• Strong hands-on experience with Node.js, TypeScript, React, and Next.js, with the ability to build and maintain full stack web applications.
• Experience working with Directus CMS or similar headless CMS platforms, including configuration of modules, workflows, and content components.
• Good understanding of REST APIs, JSON, OAuth2, and API security, with experience integrating internal and external systems.
• Familiarity with GitLab, CI/CD pipelines, DevSecOps practices, Docker, and containerised deployments.
• Knowledge of cloud and web infrastructure, preferably AWS services such as EC2, S3, CDN, and Load Balancers.
• Experience implementing automated testing (unit, integration, end-to-end), code quality checks, accessibility compliance (WCAG), and performance optimisation.
• Strong troubleshooting and debugging skills across frontend, backend, and cloud environments, with the ability to support production systems effectively.

Ready to apply? Here’s how: 

• Click the APPLY button, or 
• Email your resume (in MS Word or PDF format) to adelin@intuitrecruitment.com. Include the job title in your email subject line for prompt processing. 

Only shortlisted candidates will be notified. 

By submitting your application, you consent to the collection and use of your personal data under Personal Data Protection Act (PDPA). 

Adelin Chong | EA Personnel Reg No.: R1875641 

Intuit Recruitment Pte Ltd | EA License No.: 25C2793 

About the Role

We are looking for exceptional AI Engineers to build the next generation of AI infrastructure and Machine Learning Systems(MLSys).

This role focuses on large-scale system infrastructure rather than model research. You will work on the core foundations that power large-scale AI training and inference systems, including Kubernetes cluster management, RDMA networking, unified KV Cache architecture, observability platforms, distributed systems, GPU orchestration, and CUDA kernel optimisation.

You will collaborate closely with AI researchers, infrastructure architects, networking engineers, and platform teams to maximize the efficiency, scalability, and reliability of AI systems.

Key Responsibilities

AI Infrastructure & Kubernetes

• Design, deploy, and operate large-scale Kubernetes-based AI infrastructure.
• Develop cluster governance frameworks, scheduling policies, resource isolation, and multi-tenancy capabilities.
• Build and optimize GPU orchestration platforms using Kubernetes, Slurm, Volcano, Kueue, Ray, and related technologies.
• Improve cluster utilization, reliability, elasticity, and operational efficiency.

RDMA & High-Performance Networking

• Design and optimize RDMA, InfiniBand, RoCE, and high-speed Ethernet fabrics for distributed AI workloads.
• Optimize GPU-to-GPU and GPU-to-NIC communication paths.
• Improve distributed communication efficiency for large-scale training and inference.
• Analyze and eliminate networking bottlenecks across AI clusters.

Unified KV Cache & Distributed Memory Systems

• Design and implement unified KV Cache architecture across:
• GPU HBM
• CPU Memory
• RDMA-accessible Memory
• NVMe SSD
• Distributed Storage
• Develop efficient KV Cache sharing, migration, offloading, and scheduling mechanisms.
• Optimize latency and throughput for large-scale inference systems.

CUDA & System Performance Optimisation

• Develop and optimize CUDA kernels for training and inference workloads.
• Profile and optimize GPU compute, memory, communication, and scheduling efficiency.
• Contribute to low-level optimization of AI frameworks and inference engines.
• Work on technologies such as FlashAttention, TensorRT, Triton, NCCL, CUTLASS, and custom operators.

Observability & Reliability

• Build end-to-end observability platforms for AI infrastructure.
• Design monitoring, logging, tracing, alerting, and troubleshooting frameworks.
• Develop performance dashboards and SLO-driven operational systems.
• Improve maintainability, debuggability, and operational excellence of AI platforms.

Automation & Platform Engineering

• Build automation tools for deployment, provisioning, monitoring, and operations.
• Develop Infrastructure-as-Code (IaC) solutions using Terraform, Ansible, and related tools.
• Build CI/CD pipelines and engineering productivity platforms.
• Improve platform scalability and operational efficiency.

Required Qualifications

Education

• Bachelor's degree or above in Computer Science, Software Engineering, Electrical Engineering, or related fields.

Technical Skills

• Strong software engineering and programming skills.
• Excellent system design capability and strong engineering craftsmanship.
• Strong coding standards and code quality awareness.
• Strong sense of ownership, accountability, and execution.

System Fundamentals

Strong understanding of:

• Operating Systems
• Computer Networks
• Distributed Systems
• Data Structures and Algorithms
• Linux Internals

Programming Languages

Proficiency in one or more of:

• C++
• Go
• Python
• Rust

AI Infrastructure Experience

Hands-on experience in one or more of:

• Kubernetes
• GPU Infrastructure
• Distributed Systems
• AI Infrastructure
• HPC (High Performance Computing)
• Cloud-Native Platforms

Networking Experience

Experience with:

• RDMA
• InfiniBand
• RoCE/RoCEv2
• GPUDirect
• NCCL
• UCX
• High-Speed Ethernet

GPU & Performance Engineering

Experience with:

• CUDA
• GPU Performance Optimization
• Multi-GPU Systems
• Distributed Training
• Distributed Inference

Preferred Qualifications

• Experience building large-scale AI training or inference clusters.
• Experience with vLLM, SGLang, TensorRT-LLM, Triton, DeepSpeed, Megatron-LM, Ray, or similar frameworks.
• Experience with unified KV Cache systems, memory hierarchy optimisation, or distributed storage systems.
• Experience with Kubernetes GPU Operator and NVIDIA NetworkOperator.
• Experience with Prometheus, Grafana, Loki, OpenTelemetry, and observability platforms.
• Experience contributing to open-source projects such as: vLLM, FlashAttention, CUTLASS, TVM, MLIR, Triton, Kubernetes, NCCL
• Experience working across AI Infrastructure, HPC, Networking, and Silicon Systems is highly desirable.

We are seeking a highly motivated and hands-on AI Engineer /Agentic AI Builder to drive the development, implementation, and optimization of autonomous, agentic AI workflows across our Testing, Inspection, and Certification (TIC) operations. In this role, you will be a core builder—leveraging Large Language Models (LLMs), workflow automation, and modern AI APIs. Design and deploy Agentic AI systems capable of executing complex, multi-step tasks to improve internal efficiency and enhance our standard operating procedures (SOPs).

This role is ideal for a builder who loves setting up autonomous AI agents, connecting them via modern APIs to real-world business tools, and deploying systems that drastically reduce manual operational bottlenecks.

Key Responsibilities:

• Agentic AI Setup & Orchestration: Design, build, and deploy single and multi-agent systems that utilize autonomous reasoning, tool-calling (function calling), and memory to complete complex workflows with minimal human supervision.
• Process Automation & Tool Integration: Identify opportunities to automate manual text- and data-heavy workflows within our testing, lab, and inspection operations (e.g., parsing compliance standards, synthesizing lab results, and auto-generating draft inspection reports).
• Hands-on Coding & API Deployment: Write, test, and deploy clean production-grade Python code to integrate AI agents with internal data sources and third-party APIs.
• Evaluation& HITL Integration: Implement Human-in-the-Loop (HITL) review mechanisms into agent workflows to ensure high-stakes data is verified by human experts before final execution.
• Prompt &Context Engineering: Fine-tune system prompts, establish agent guardrails, and implement robust context management to minimize AI hallucinations and ensure data security.
• Operational Collaboration: Work closely with laboratory technicians, inspectors, and operations managers to map out their manual SOPs and translate them into automated agent workflows.
• User Adoption & Enablement: Help drive the adoption of new AI tools by creating simple documentation, gathering feedback from end-users, and measuring how much time the tools save.
  

Qualifications:

Minimum Requirements:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline (or equivalent practical experience/portfolio of built AI projects).
• Experience: at least 3 years of hands-on experience in software engineering, python programming, or AI prototype development.
• Agentic AI& LLM Familiarity: Practical experience setting up AI tools, writing effective system prompts, and utilizing LLM APIs (OpenAI, Anthropic, etc.) for tool-calling or multi-step execution.
• Programming Skills: Strong fundamental programming skills in Python, with experience using collaborative software workflows (e.g., Git).
• Problem-Solving Mindset: Ability to break down complex, manual human procedures into clear logical rules and steps that an AI agent can execute.

Preferred (not required but would be an advantage to have):

• Agentic Frameworks: Hands-on experience with modern agent orchestration frameworks or graph-based tools (e.g., LangGraph, CrewAI, AutoGen, or flow builders like Flowise/Langflow).
• Information Retrieval: Exposure to Retrieval-Augmented Generation (RAG) architectures and vector databases.
• Document Processing: Experience using OCR and AI tools to convert unstructured laboratory PDFs, images, and inspection logs into structured data for agent ingestion.
• TIC Industry Exposure: A basic understanding of or interest in lab workflows, ISO standards, or regulatory compliance

Responsibilities

• Provide technical support and effective site coordination, ensuring timely resolution of project and installation issues.

• Apply sound engineering knowledge, design expertise, and understanding of relevant building services codes and standards to support project execution.

• Ensure materials and installation works carried out by suppliers and subcontractors comply with project specifications and quality management requirements.

• Coordinate, monitor, and inspect supplier deliveries, equipment, and subcontractor works to maintain quality standards.

• Prepare and review shop drawings, coordinated drawings, and related technical documentation.

• Develop work schedules and participate in client, consultant, and internal project meetings.

• Support the Project Manager in managing daily project activities, including planning, quality assurance, safety compliance, and project progress monitoring.

• Liaise closely with the main contractor and project stakeholders to ensure smooth execution and minimize rework.

• Monitor and control site materials and equipment usage to reduce wastage and optimize resources.

• Maintain close communication with suppliers and subcontractors to ensure timely deliveries and avoid delays impacting project schedules.

• Conduct inspections to identify and rectify non-conforming materials, products, or installations, preventing defects and quality issues.

• Evaluate and implement innovative technologies and installation methodologies to enhance productivity and operational efficiency.

• Track site progress closely and provide clear direction and communication to subcontractors and suppliers.

• Perform any other duties and responsibilities as assigned. 

  Working days: 5 days working, 8:00 to 4:45 (Based on Project) 

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514 

5 days working

8:00 to 4:45 (Based on Project) 

• Provide effective site coordination and technical problem-solving support to clients and project stakeholders.

• Apply engineering expertise in design, building services systems, and relevant codes of practice to ensure project requirements are met.

• Ensure materials and installation works performed by suppliers and subcontractors comply with quality standards and ISO procedures.

• Monitor and coordinate material deliveries, equipment, and subcontractor activities to maintain installation quality and project schedules.

• Prepare shop drawings, coordinated drawings, and other technical documentation required for project execution.

• Develop work schedules and participate in client, consultant, and internal project meetings.

• Assist the Project Manager in overseeing daily project operations, including planning, quality control, safety compliance, and progress monitoring.

• Liaise closely with the main contractor and project teams to ensure smooth coordination and minimize rework.

• Manage site materials and equipment efficiently to reduce wastage and optimize resource utilization.

• Maintain close communication with suppliers and subcontractors to ensure timely deliveries and prevent project delays.

• Conduct inspections to identify and rectify non-conforming materials or installations, ensuring compliance with project specifications.

• Evaluate and implement new technologies and installation methods to enhance productivity and operational efficiency.

• Monitor site progress closely and provide clear guidance to suppliers and subcontractors to ensure timely completion of works.

• Perform other duties and responsibilities as assigned.

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514 

Main Responsibilities: 

• Configure and support MES workflows within PharmaSuite / Catalyst
• Support electronic batch record (EBR) design and execution
• Work closely with operations, QA, and IT teams for system integration
• Perform testing, validation, and troubleshooting of MES workflows
• Support change control, system upgrades, and hypercare activities

Requirements: 

• At least 4 years of experience in MES within pharma manufacturing
• Hands-on experience with PharmaSuite / Catalyst systems
• Strong understanding of GMP, ISA-95, and batch processes
• Exposure to system interfaces (ERP / DeltaV / PLC) and validation lifecycle

Contract Duration: 12 months with options to renew based on performance