Lowongan Kerja Jakarta Selatan Posisi Ai Developer – Engineer di PT ADIDAYA RISET INSTRUMEN INDONESIA

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Perusahaan	PT ADIDAYA RISET INSTRUMEN INDONESIA
Posisi	Ai Developer - Engineer
Tempat	Jakarta Selatan
Jenis Pekerjaan	Full Time
Spesialisasi Dibutuhkan	Developer/Programmer (Teknologi Informasi & Komunikasi)
Gaji Min	Rp. 8.075.000
Gaji Max	Rp. 11.075.000

Job Description

• Design (problem identification), develop (feed), and implement (tools & platforms) Machine Learning (ML) and Natural Language Processing (NLP) models (tools & platforms), Monitoring & Maintenance.

• Build AI applications and services using tools such as Python, computer vision, and STT/TTS tools (e.g., Whisper, Google TTS) according to company needs.

• Exposure to machine learning tasks such as OCR, image classification, object detection, or clustering using libraries like PyTorch, TensorFlow, or scikit-learn.

• Some experience working with REST APIs, webhooks, and cloud platforms (AWS preferred).

• Optimize algorithms for performance, accuracy, and scalability of AI models.

• Integrate AI models into applications using appropriate APIs, frameworks, and platforms.

Job Qualifications:

1. Education: Minimum Bachelor’s degree in Informatics, Computer Science, Data Science, Telecommunications, or a related field.

2. Experience: Minimum 3 years in machine learning/AI engineering

3. Experience creating REST APIs or integrating AI models into applications (ChatGPT, Whisper).

4. Strong problem-solving and critical thinking skills with a strong work ethic

5. Able to work independently and in cross-departmental teams

6. Technical Skills:

• Programming: Python (required), AI, Machine Learning, generative media, or AI tools (e.g., Wav2Lip, SadTalker, D-ID).

• Familiarity with CV/ML frameworks such as OpenCV, MediaPipe, YOLO, Detectron2, or MMDetection.

• Experience with OCR libraries (e.g., Tesseract, EasyOCR, PaddleOCR).

• Understanding of asynchronous programming, REST APIs, and containers (Docker).

• Interest or experience in building real-time or interactive AI features.

• NLP: Familiarity with LLM (e.g., Open AI, Cohere, HuggingFace) and Text Summarization

• Computer Vision: Experience with object detection, OCR, or image segmentation models.

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