Mid-level AI Engineer: Computer Vision & Forecasting

Synapsis; Jakarta Pusat; On-site; IDR 334,800,000 - 613,800,000; Full time

Job summary

Synapsis is seeking an AI Engineer specialist in computer vision and forecasting to develop, deploy, and optimize AI solutions within production systems. You will build scalable ML models, collaborate with cross-functional teams, and drive data-driven decisions across business units.

The role requires hands-on experience with Python, TensorFlow, PyTorch, and OpenCV, along with data preprocessing, feature engineering, and creating reusable pipelines.

Qualifications

• Bachelor's or Diploma in IT/CS or related field.

Responsibilities

• Develop and optimize ML models for forecasting and computer vision tasks.
• Collaborate with data scientists, software engineers, and product managers to understand business requirements.
• Build and maintain scalable AI pipelines for data collection, preprocessing, feature engineering, model training, validation, and deployment.
• Conduct applied research to implement AI methodologies in CV and time-series forecasting.
• Optimize model performance for accuracy, scalability, and production readiness.
• Process and clean diverse datasets to ensure high-quality inputs for robust models.
• Implement ML models using Python and frameworks such as TensorFlow or PyTorch.
• Conduct rigorous testing and evaluation to ensure models perform well in real-world scenarios.
• Integrate AI models with existing software systems, APIs, and databases to enhance product functionality.
• Monitor and improve model performance post-deployment by analyzing feedback and updating models as necessary.

Skills

Python

TensorFlow

PyTorch

OpenCV

NumPy

Pandas

Scikit-learn

Time-Series Forecasting

Computer Vision

MLOps

Education

Bachelor's degree in IT/CS

Diploma 3/4 in IT/CS

Related majors accepted

Tools

TensorFlow

PyTorch

OpenCV

Keras

Scikit-learn

Job description

Synapsis is seeking an AI Engineer specialist in computer vision and forecasting to develop, deploy, and optimize AI solutions within production systems. You will build scalable ML models, collaborate with cross-functional teams, and drive data-driven decisions across business units.

The role requires hands-on experience with Python, TensorFlow, PyTorch, and OpenCV, along with data preprocessing, feature engineering, and creating reusable pipelines.