FoJobPreviewBackLink:AI Engineer / Jakarta (north)

PT Usaha Kreatif Indonesia is hiring for AI Engineer

Responsibilities :

  • Design, build, and deploy machine learning and deep learning models for production use.
  • Collaborate with data scientists, software engineers, and product teams to integrate AI models into existing systems.
  • Preprocess and analyze large datasets for training and evaluation.
  • Research and experiment with the latest AI/ML algorithms, frameworks, and technologies.
  • Optimize model performance, scalability, and efficiency for real-world deployment.
  • Develop APIs or pipelines for model inference, monitoring, and automation.
  • Implement MLOps best practices including versioning, CI/CD, and model tracking.
  • Work on computer vision, NLP, recommendation systems, or generative AI projects (depending on company focus).
  • Document processes, models, and research findings clearly for internal and external stakeholders.

Requirements :

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Understanding of machine learning, deep learning architectures, and neural networks.
  • Familiarity with cloud AI platforms (AWS, GCP, Azure) or MLOps tools (MLflow, Kubeflow, Airflow).
  • Knowledge of RESTful APIs and model deployment frameworks such as FastAPI or Flask.
  • Strong problem-solving skills and ability to work in a collaborative, agile environment.

Preffered Skills :

  • Experience with LLMs (Large Language Models), LangChain, vector databases (e.g., Pinecone, FAISS).
  • Familiarity with computer vision (OpenCV, YOLO, Detectron2) or NLP (transformers, BERT, GPT).
  • Understanding of data pipelines and ETL processes.
  • Contribution to open-source AI projects or personal AI research portfolio.
  • Experience with containerization (Docker, Kubernetes).