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AI Engineer

Wirehire · Location not stated

Strong hiring record · median 2 days open

100100

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Actively hiring

Posted 2 days ago · still listed on the employer's own board · How we score

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  • No location stated

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  • Posted 2 days ago
  • Still listed on the employer's own board

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AI Engineer at Wirehire. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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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