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

Salary:

Negotiation

Job ID:

J01610

Status:

Close

Related Job:

Senior DevOps (Data Platform)

Ho Chi Minh - Viet Nam


Digital Bank, Product

  • Devops
  • Spark

Managing workloads on EC2 clusters using DataBricks/EMR for efficient data processing Collaborating with stakeholders to implement a Data Mesh architecture for multiple closely related enterprise entities Utilizing Infrastructure as Code (IaC) tools for defining and managing data platform user access Implementing role-based access control (RBAC) mechanisms to enforce least privilege principles Collaborating with cross-functional teams to design, implement, and optimize data pipelines and workflows Utilizing distributed engines such as Spark for efficient data processing and analysis Establishing operational best practices for data warehousing tools Managing storage technologies to meet business requirements Troubleshooting and resolving platform-related issues Staying updated on emerging technologies and industry trends Documenting processes, configurations, and changes for comprehensive system documentation.

Negotiation

View details

Senior Machine Learning Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Information Technology & Services

  • Machine Learning

Creating the V1 Evaluation Platform: You will be responsible for designing and building the core backend systems for our new LLM Evaluation Platform, using Arize Phoenix as the basis for traces, evaluations, and experiments. Implementing Production Observability: You will need to architect and implement the observability backbone for our AI services by integrating Phoenix with OpenTelemetry to establish a centralized system for logging, tracing, and evaluating LLM behavior in production. Standardizing LLM Deployment Pipeline: You will be in charge of designing and implementing the CI/CD framework for versioning, testing, and deploying prompt-based logic and LLM configurations, ensuring reproducible and auditable deployments across all AI features. Providing Practical Solutions: Your role will involve making pragmatic technical decisions that prioritize business value and speed of delivery, in line with our early-stage startup environment. Collaborating with Other Teams: You will work closely with the Data Science team to understand their workflow and ensure that the platform you build meets their core needs for experiment tracking and validation. Establishing Core Patterns: You will also help in establishing and documenting the initial technical patterns for MLOps and model evaluation that will serve as the foundation for future development.

Negotiation

View details

Senior Bridge Software Engineer (Japanese N2)

Ho Chi Minh, Ha Noi - Viet Nam


No.1 Construction Tech company in Japan

  • BSE/BrSE

Project Management & Client Coordination: Acting as the primary liaison between Japanese clients and our Vietnam development teams, conducting detailed briefings with the Japan team, managing client relationships and expectations, and overseeing project performance. Development Team Support: Leading the definition of project scope, objectives, and technical feasibility, delegating project tasks to team members, managing project risks, and documenting project details. Development Environment: Involvement in backend, frontend, and mobile app technologies, CI/CD & DevOps, and monitoring & tools.

Negotiation

View details