At Insignia, we're looking for a Junior to Mid-Level ML Engineer who's excited to work on real-world AI applications — from data pipelines to model deployment. You don't need to be an expert yet, but you should already know the basics of machine learning, have built something with Python, and want to go deeper.
You'll collaborate with senior engineers and data scientists to develop models that power automation, insights, and smart features. If you're passionate about applied AI, comfortable with code, and eager to ship models that matter, this is your chance to grow fast in a hands-on environment.
This is a hybrid role based in West Jakarta, blending focused collaboration with flexible execution.
What You'll Do:
Assist in designing, training, and deploying machine learning models for production use
Work on data preprocessing, feature engineering, and model evaluation workflows
Support the development of AI-powered features, including NLP, classification, or recommendation systems
Collaborate with data engineers and software teams to integrate models into applications
Write clean, maintainable code in Python using modern ML libraries (PyTorch/TensorFlow)
Learn and contribute across the ML lifecycle — from experimentation to monitoring
Who You Are:
1–3 years of experience in ML engineering, data science, or related roles — fresh grads with strong projects / internship also welcome
Solid foundation in Python, machine learning concepts, and data manipulation (Pandas, NumPy)
Hands-on experience with scikit-learn, PyTorch, TensorFlow, or similar frameworks
Familiarity with Jupyter, Git, and basic MLOps practices
Bonus: Experience with NLP, computer vision, or GenAI projects (e.g., RAG, LLMs)
Eager to learn, give/receive feedback, and improve through iteration
Fluent in English — written and spoken
Why Join Us?
Because great ML engineers aren't born — they're built through real projects, mentorship, and ownership. If you're ready to move beyond tutorials and start shipping intelligent systems, let's talk.
Hybrid role – West Jakarta
Tech stack: Python, PyTorch, FastAPI, Docker, AWS, Git