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A technology solutions firm in Jakarta Selatan is seeking a Machine Learning Engineer to design and implement AI solutions. The ideal candidate will have at least 3 years of experience in machine learning, proficiency in Python, and skills in integrating AI models into applications. Responsibilities include building AI services and optimizing algorithms for performance and accuracy. Join a dynamic team dedicated to innovation in AI.
Holding Company of PT. Adidaya Riset Instrumen Indonesia
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:
Education: Minimum Bachelor\'s degree in Informatics, Computer Science, Data Science, Telecommunications, or a related field.
Experience: Minimum 3 years in machine learning/AI engineering
Experience creating REST APIs or integrating AI models into applications (ChatGPT, Whisper).
Strong problem-solving and critical thinking skills with a strong work ethic
Able to work independently and in cross-departmental teams
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.