
AI Engineer
Wirehire · Location not stated
Strong hiring record · median 2 days open
Hiring signal
Actively hiring
Posted 2 days ago · still listed on the employer's own board · How we score
All reasons
- No location stated
In its favour
- Posted 2 days ago
- Still listed on the employer's own board
AI Engineer - Wirehire | Career Page
AI Engineer
Jakarta, Indonesia
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Job Openings AI Engineer
About the job AI Engineer
Role Overview
We are seeking a hands-on AI Engineer who can build and deploy AI solutions that drive real business impact. This role requires expertise in AI/ML model development, coding, and deploying scalable AI applications. You will work closely with business stakeholders, data engineers, and software developers to create AI-powered products that optimize decision-making and operational processes.
Key Responsibilities
- Develop AI/ML models: Design, build, and optimize machine learning models for real-world applications.
- Hands-on coding: Write clean, efficient, and scalable code for AI pipelines and deployments.
- AI product development: Translate business problems into AI solutions, from prototype to production.
- Model deployment: Implement and integrate AI models into business systems using cloud platforms (AWS, GCP, Azure) or on-premise.
- Data processing & engineering: Work with structured/unstructured data, develop pipelines, and ensure data readiness for AI applications.
- Collaboration: Work with cross-functional teams, including business leaders, product managers, and engineers, to ensure AI solutions align with business needs.
Qualifications
- 3-7 years of experience in AI/ML engineering, data science, or related fields.
- Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn) and SQL.
- Experience with MLOps (model monitoring, deployment, scaling).
- Familiarity with cloud services (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and ability to work independently.
- Excellent communication skills to translate AI concepts into business impact.
Preferred Qualifications
- Experience in Generative AI, NLP, or Computer Vision.
- Exposure to LLMs (Large Language Models) and fine-tuning techniques.
- Understanding of software engineering best practices (CI/CD, version control, API development).
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Skills
- Jakarta
- Machine Learning
- AWS
- GCP
- Azure
- Python
- TensorFlow
- PyTorch
- scikit-learn
- SQL
- MLOps
- Docker
- Kubernetes
- Generative AI
- NLP
- Computer Vision
- LLM
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