Lowongan Kerja Balikpapan Posisi Ai/ Ml Engineer di MINERGO SYSTEMS

Info Loker

Perusahaan	MINERGO SYSTEMS
Posisi	Ai/ml Engineer
Tempat	Balikpapan
Jenis Pekerjaan	Kontrak/Temporer
Spesialisasi Dibutuhkan	Teknik – Perangkat Lunak (Teknologi Informasi & Komunikasi)
Gaji Min	Rp. 2.000.000
Gaji Max	Rp. 8.500.000

WE’RE HIRING!

AI / Machine Learning Engineer (Mid-Level)

About the Role

At PT Minergo Visi Maxima, we harness the power of data and artificial intelligence to transform mining operations into smarter, safer, and more efficient systems.

As an AI/ML Engineer, you will design, develop, and deploy intelligent models that drive insights, automation, and optimization across Minergo’s digital mining ecosystem — from predictive maintenance and fleet monitoring to safety analytics and environmental modeling.

Key Responsibilities :

• Design and implement machine learning and deep learning models to solve real-world mining and industrial problems.

• Process and analyze large-scale operational datasets from sensors, telematics, and field devices.

• Develop data pipelines, training frameworks, and model deployment systems.

• Work with cross-functional teams to translate business and operational challenges into AI-driven solutions.

• Optimize models for accuracy, scalability, and latency in production environments.

• Collaborate with software engineers to integrate models into Minergo’s digital platforms.

• Document experiments, model performance, and system architecture for reproducibility.

Qualifications :

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, or Electrical Engineering.

• 2–4 years of experience in AI/ML development or data-driven system design.

• Strong programming skills in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.

• Proficient in data preprocessing, feature engineering, and model optimization.

• Experience with SQL/NoSQL databases and data processing tools (Pandas, NumPy, PySpark).

• Familiar with REST APIs, Docker, or ML model deployment workflows.

• Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.

• Strong analytical mindset and problem-solving skills.

• Willing to travel for data collection or system testing in field environments.

Preferred Skills :

• Experience in computer vision, anomaly detection, or time-series prediction for industrial data.

• Familiarity with edge AI, IoT data pipelines, or real-time inference systems.

• Understanding of data visualization tools (Power BI, Grafana, or Streamlit dashboards).

• Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow).

• Prior experience in mining technology, geospatial analysis, or environmental data modeling.

Lamar kerja

Deskripsi Perusahaan

Info Perusahaan

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