Machine Learning Engineer
Jubelio
- Full-Time
- Hybrid • Jakarta Selatan
- Rp10.000.000 – 15.000.000
No Sign Up Required!
Job Description
We're looking for an MLE to develop & maintain AI-powered internal products, machine learning services, & data-driven automation systems. This role focuses on building practical AI solutions that support business operations — including forecasting, classification, search/recommendation, RAG, OCR, chatbot, and predictive analytics.
You'll work across multiple AI and data domains, from experimentation in notebooks to production-ready APIs and services. This covers the full stack: dataset preparation, model training and evaluation, backend service development, LLM and vector database integration, and deployment.
Job Description:
- Own the full ML lifecycle: data ingestion, preprocessing, feature engineering, model training, fine-tuning, evaluation, deployment, and monitoring
- Build and maintain production ML services and inference APIs
- Design and operate RAG pipelines: embeddings generation, vector DB integration, retrieval logic, and LLM orchestration for chatbots and document search
- Prepare, clean, transform, and analyze structured and unstructured datasets
- Train, evaluate, and optimize models for classification, regression, and forecasting use cases
- Collaborate with product, engineering, and stakeholders to translate business needs into AI solutions with clear success metrics
- Produce and maintain clear documentation and runbooks
Requirements
- Min 2-4 years experience in Machine Learning Engineer, or other related AI positions.
- Strong Python development skills with production-grade coding practices and testing
- Solid experience with data preparation, EDA, feature engineering, and model evaluation
- Demonstrated experience deploying ML models to production (APIs / inference services)
- Experience with SQL and working knowledge of cloud object storage (S3 or equivalent)
- Familiarity with containerization (Docker) and basic orchestration concepts
- Practical experience with NLP workflows: embeddings, LLM APIs, and RAG architectures (embedding models + vector databases)
- Strong ownership and troubleshooting skills — able to operate as a single contributor covering multiple domains
- Clear communicator, able to explain technical tradeoffs to non-technical stakeholders
Tips Menjaga Diri
Perusahaan dan Lowongan di Dealls tidak meminta data pribadi, informasi rekening, atau pungutan ketika melamar. Hindari juga lowongan Google Form / Grup Telegram tanpa keabsahan yang jelas.
An Omnichannel Platform for retailers and wholesalers. Our mission is to simplify your business by integrating back office, warehouse, marketplace, webstore and point of sales (POS) into one dashboard.
