Senior Machine Learning & Industrial Data Specialist
Hồ Chí Minh (On-site)
Nghỉ trọn T7, CN
Hạn chót 11/12/2026
Đăng 1 ngày trước
Ít hơn 20 ứng viên
Yêu cầu công việc
- Education: Bachelor's degree in Computer Science, Data Engineering, AI/ML, Electrical/Automation Engineering, IT, or a related field (or equivalent experience).
- Language: English speaking proficiency is required.
- Experience & Core Competencies: 5+ years of professional experience in machine learning and applied AI solutions, with 2+ years working directly with industrial IoT, telemetry, or PLC time-series data.
- Machine Learning Expertise: In-depth knowledge of machine learning algorithms (regression, classification, time-series forecasting, anomaly detection, predictive maintenance) and model lifecycle management (MLOps) - the highest-priority skill for this role.
- PLC & Telemetry Knowledge: Proven experience handling high-frequency sensor/telemetry data, understanding PLC protocols (OPC UA, Modbus, MQTT, CAN bus, or proprietary SCADA/PLC feeds), and handling noisy, missing, or irregular time-series data.
- Programming & Querying: High proficiency in Python and SQL, with strong expertise in numerical computing libraries (e.g., pandas, numpy, scipy, statsmodels).
- Architecture: Experience applying ML workflows within Bronze-Silver-Gold Lakehouse architectures for streaming telemetry data.
Preferred Qualifications (nice-to-have):
- Experience with Generative AI / LLM applications for industrial log diagnostics or automated alert handling.
- Familiarity with Industrial IoT / BI reporting tools (e.g., Power BI, Grafana) for telemetry visualization and anomaly dashboards.
- Experience setting up MLOps & CI/CD pipelines (Azure DevOps, GitHub Actions) for automated model retraining and deployment.
- Knowledge of industrial security standards, data governance, and secure data transmission practices.
- Working method: experience working in Agile/Scrum development environment.
Benefits:
- Competitive salary and bonus structure.
- Lunch allowances.
- 13th-month salary, performance-based bonuses.
- Team building activities.
- Full social insurance, health insurance, unemployment insurance as per - state regulations.
Yêu cầu nên có
Experience with Generative AI or LLM applications for industrial log diagnostics or automated alert handling Familiarity with Industrial IoT or BI reporting tools, such as Power BI or Grafana, for telemetry visualization and anomaly dashboards Experience setting up MLOps and CI/CD pipelines, such as Azure DevOps or GitHub Actions, for automated model retraining and deployment Knowledge of industrial security standards Knowledge of data governance Knowledge of secure data transmission practices Experience working in an Agile/Scrum development environment
Công việc cụ thể là gì?
Job Summary:
We are seeking a Senior Machine Learning & Industrial Data Specialist with deep expertise in AI/ML model development, predictive analytics, and real-time processing of industrial telemetry and Programmable Logic Controller (PLC) data. This role will drive AI adoption and predictive maintenance models across our eco-systems and data platforms, backed by a strong foundation in edge-to-cloud data ingestion and streaming architectures.
The ideal candidate bridges the gap between operational technology (OT) data streams (PLC, IoT sensors, telemetry logs) and scalable IT/cloud data infrastructure. You will design, train, and deploy machine learning models (e.g., anomaly detection, predictive maintenance, remaining useful life estimation, and operational optimization) while building reliable streaming and batch pipelines to ingest high-frequency telemetry
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Key Responsibilities:
- Industrial AI/ML Adoption & Development: Evaluate, pilot, and implement machine learning models specifically tailored for telemetry, sensor, and PLC time-series data (e.g., predictive maintenance, failure prediction, fault detection, process optimization).
- Telemetry Data Architecture: Translate OT data streams into AI-ready, structured, and scalable data architectures utilizing Lakehouse and time-series processing frameworks.
- Hands-on Technical Implementation: Prototype, train, deploy, and monitor ML models using MLOps practices, while building robust telemetry ingestion and processing pipelines.
- Edge-to-Cloud & Protocol Integration: Define and enforce standards for high-frequency telemetry data collection, schema validation, data quality, and secure transmission from edge hardware/PLCs to cloud platforms.
- Solutions: Build and maintain solutions leveraging industrial IoT, telemetry, and machine learning services:
- AI/ML & MLOps Platforms: Azure Machine Learning, MLflow, Scikit-learn, TensorFlow/PyTorch, Azure AI Foundry.
- Telemetry & IoT Ingestion: Azure IoT Hub / Event Hubs, MQTT, OPC UA, Kafka, or equivalent real-time streaming brokers.
- Data Lake & Lakehouse: Delta Lake (Bronze-Silver-Gold time-series pipelines), Snowflake, or Databricks.
- Stream & Batch Processing: Spark Structured Streaming, Databricks, Apache Flink, or dbt.
- Cross-Functional Collaboration: Partner with software architects, field engineers, and infrastructure teams to ensure high availability, low latency, performance, and security across OT/IT boundary systems.
Quyền lợi có gì?
Lương thưởng
End Year bonus
Bảo hiểm & sức khoẻ
Health Insurance
Cân bằng công việc-cuộc sống
Professional development budget
Văn hoá công ty
Collaborative, Inclusive team culture
Khác
Salary Adjustment 1 time/ year
