Job Description
Full details about the role and requirements
Yukerja Summary
The AI Developer role at PT. CaritaHub Peduli Lansia is curated from Glints (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.
We are looking for a skilled AI Developer to design, develop, and deploy artificial intelligence solutions that support business needs and improve system efficiency. The ideal candidate has strong technical expertise in machine learning and AI technologies, as well as excellent communication skills in English.
Key Responsibilities
- Design, develop, and implement AI/ML models for various use cases (e.g., automation, prediction, NLP, computer vision).
- Build and optimize data pipelines for training and deploying AI models.
- Collaborate with cross-functional teams (product, engineering, and business stakeholders) to define AI-driven solutions.
- Evaluate model performance and continuously improve accuracy, scalability, and efficiency.
- Integrate AI models into existing systems, applications, or APIs.
- Conduct research on new AI technologies and propose improvements or innovations.
- Prepare technical documentation and reports in English.
- Communicate progress, findings, and technical concepts clearly to both technical and non-technical stakeholders.
Requirements & Qualifications
Mandatory Requirements
- Fluent in English (written and spoken) – MUST
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience).
- Proven experience as an AI Developer, Machine Learning Engineer, or similar role.
- Strong proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms, deep learning, and data modeling.
- Experience working with structured and unstructured data.
- Ability to explain complex technical concepts clearly in English.
Preferred Qualifications
- Experience with Natural Language Processing (NLP), Computer Vision, or Generative AI.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Experience deploying models into production environments.
- Knowledge of data engineering tools and MLOps practices.
- Experience working in an international or remote team environment.