Senior IoT and Automation Manager

JOB DESCRIPTION

Design IoT Solutions: tailor IoT solutions to meet specific business needs, considering factors such as data collection, network connectivity, data analysis, and data security.
Deploy IoT Devices: choose appropriate IoT devices (e.g., sensors, actuators) and connect them with operational equipment and machines to gather real-time data on performance, quality, and environmental conditions.
Develop IoT Platforms: collaborate with software engineers to create custom IoT applications and platforms tailored to manufacturing operations, including controls, visualization tools, and reporting mechanisms.
Integrate IoT Platforms with Other Systems: integrate IoT applications with other systems such as
Enterprise Resource Planning (ERP) or Manufacturing Execution Systems (MES) for continuous data exchange and improved production processes.
Manage IoT Data: develop protocols and systems to collect and store large volumes of IoT-generated data, ensuring its integrity, security and accessibility.
Analyze IoT Data: utilize data analytics tools and techniques to derive actionable insights for decisionmaking, enabling predictive maintenance, process optimization, and quality control.
Drive Continuous Improvement: lead initiatives to enhance IoT systems and processes by gathering stakeholder feedback and monitoring industry trends and best practices.
Ensure Compliance & Standards: adhere to relevant industry standards, regulations, and cybersecurity requirements throughout the design and implementation of IoT solutions.
Provide Documentation & Training: create technical documentation, user manuals, and training materials to facilitate the deployment and maintenance of IoT systems, fostering knowledge transfer and skill development within the organization.

JOB REQUIREMENT

Mandatory requirements for the job are as follows:
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
Minimum 7 years of working experience in the manufacturing field, IoT and Automation.
Proven experience in the design and implementation of IoT and Automation systems, sensorintegration, data acquisition systems and industrial communication protocols.
Proficient in implementing automation solutions with PLC, HMI, and SCADA platforms
Familiar with cybersecurity principles and best practices applying to IoT systems
Familiar with embedded systems and embedded systems programming
Familiar with Visual Studio and C#
Knowledge of IoT technologies, protocols and standards (e.g., MQTT, OPC, UA, Modbus).
Knowledge of database management (both local and in the cloud)
Knowledge of mobile app development
Good problem-solving skills, ability to troubleshoot complex technical problems and deliver complete, effective and efficient solutions
Effective communication and collaboration skills
In addition to hard requirements, it's an advantage of having the following knowledge and experience:
Cloud and edge computing platforms (e.g., AWS)
Databases (e.g., Oracle, SQL Server)
Data analysis and visualization tools (e.g., Tableau, PowerBI)

WHAT'S ON OFFER

Laptop
Insurance
Travel opportunities, Annual Leave
Allowances
Uniform
Incentive bonus
Health checkup
Training & Development
Salary review
Business Expense
Seniority Allowance
Sport Club

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Animal Feed Manufacturing

Technical Skills:

IoT, Project Management

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01610

Status:

Close

Related Job:

Senior Signal Processing Engineer

Others - Viet Nam


Outsource

  • Python

Design and improve rPPG/TOI pipelines using RGB/IR video with motion/illumination compensation. Implement multi-stage preprocessing, denoising, and quality scoring. Examples: adaptive filtering, ICA/PCA variants, color-space transforms, skin ROI stabilization, signal confidence metrics. o Build cross-device normalization strategies and error-bounded estimators. Define biomarker-level acceptance criteria and failure modes for consumer-grade capture. Partner with iOS and ML teams to integrate algorithms into on-device or hybrid pipelines. Produce technical documentation suitable for regulatory-risk positioning and Apple review support. Benchmark report across device models, skin tones, lighting, and motion conditions. Biomarker feature specification sheet with recommended thresholds and confidence bands. A/B results showing improvements in stability, missingness, and downstream inference performance.

Negotiation

View details

Senior Mobile App Development Engineer

Others - Viet Nam


Outsource

  • iOS

Develop and enhance capture flows using TrueDepth, ARKit, AVFoundation, and CoreMotion. Convert algorithm requirements into reliable on-device data collection and frame synchronization. Create user-friendly quality control interface and capture-state instrumentation, including tasks such as lighting checks, face alignment, motion thresholds, occlusion detection, and retake prompts. Improve latency, thermal behavior, and battery usage for 10-second diagnostic-style capture. Ensure data privacy and compliance with privacy regulations in telemetry. Create technical documentation for the use of specific APIs and data handling for Apple's internal use. Build a modular capture SDK layer with feature flags and logging capabilities. Develop a cross-device performance matrix and tuning guide. Integrate deterministic quality control gates to minimize noisy biomarker outputs in the capture process.

Negotiation

View details

Senior Data Analyst, Anti-spoofing Operation

Ho Chi Minh - Viet Nam


Product

  • Data Analyst

Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization. Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement. Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis. Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems. Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features. Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.

Negotiation

View details