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:

B2B Sales Manager

Ha Noi - Viet Nam


Product

  • Sale

Lead the business client sales department, implement sales plans, lead the team to achieve revenue targets, and maintain strong relationships with corporate customers#What you'll do: Identify and approach potential clients such as hospitals, clinics, and corporate partners to promote our laboratory testing services. Maintain and strengthen relationships with business clients Develop and execute sales plans for corporate clients Ensure team meets monthly, quarterly, and annual sales targets Lead, train, and motivate sales staff Oversee proposals, quotations, and contract processes Explore new opportunities and acquire new business clients Monitor industry trends, competitor activities, and market demands to identify new growth opportunities Prepare regular sales reports including performance metrics and market insights, and provide constructive feedback to management

Negotiation

View details

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Data Engineering
  • Management

Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details

Senior AI Engineer

Ho Chi Minh - Viet Nam


Product

  • Python
  • AI
  • Machine Learning

We're seeking an AI Engineer with strong academic foundations and deep technical expertise who excels at translating research into production banking systems. This role is 80% focused on engineering excellence-deploying models, optimizing infrastructure, ensuring reliability, and solving real-world implementation challenges-and 20% on staying current with cutting-edge AI research and emerging technologies. You'll bridge the gap between state-of-the-art AI research and scalable production systems in the financial services sector.#AI Engineering & Deployment (80%) Design, build, and deploy production-ready AI/ML systems on AWS with focus on reliability, scalability, and performance for banking applications Implement and maintain MLOps pipelines using AWS services (SageMaker, Bedrock, Lambda, Step Functions) including model versioning, monitoring, and automated retraining workflows Build and optimize AI solutions using AWS Bedrock, OpenAI API, and Gemini API combining with Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol for various banking use cases Design and implement prompt engineering frameworks and prompt management systems for LLM-based applications Develop graph analysis solutions for fraud detection, customer relationship mapping, and network analysis in banking contexts Debug and troubleshoot production AI systems, identifying and resolving issues in model performance, data pipelines, and AWS infrastructure Build and maintain AIOps practices including automated monitoring, alerting, and incident response for AI systems on AWS Optimize model serving infrastructure for latency, throughput, and cost-efficiency using AWS services Implement robust data pipelines using AWS Glue, Kinesis, and related services for training and inference Collaborate with software engineering and risk teams to integrate AI capabilities into banking products and services Ensure compliance with banking regulations and security standards in all AI deployments Monitor model performance in production and implement drift detection and retraining strategies#AI Research & Innovation (20%) Stay current with latest AI research papers and breakthroughs, evaluating applicability to banking and financial services Research and prototype emerging AI architectures and techniques for financial use cases Evaluate new paradigms in model training, inference optimization, and architectural innovations Share knowledge through technical discussions, paper reviews, and internal research presentations Identify opportunities to apply cutting-edge research to improve fraud detection, customer service, risk assessment, and other banking operations

Negotiation

View details