Senior Machine Learning Engineer

At Insignia, we’re looking for a Machine Learning Engineer to bridge the gap between data science and production engineering.

You won't just be training models in a notebook. You’ll be building scalable pipelines, optimizing inference, and ensuring reliability at scale. If you care about latency, cost, uptime, and making sure your models actually deliver value to the end-user, this is your kind of challenge.

This is a hybrid role based in West Jakarta, where your code powers real-world intelligence.

What You’ll Do:

✅ Design, train, and deploy production-grade ML systems from data ingestion to API serving

✅ Build and maintain ML pipelines for training, validation, and continuous serving

✅ Optimize models for performance, cost, and scalability (quantization, batching, caching)

✅ Implement monitoring for data drift, model decay, and system health

✅ Collaborate with data engineers and backend teams to integrate ML seamlessly into products

✅ Establish best practices for MLOps, versioning, and reproducibility

Who You Are:

✅ 2–5 years in machine learning engineering or applied AI

✅ Strong in Python, PyTorch/TensorFlow, and modern ML frameworks

✅ Experience with model deployment (FastAPI, Flask, Docker, cloud endpoints)

✅ Familiar with MLOps tools (MLflow, Kubeflow, SageMaker, or similar)

✅ Deep understanding of software engineering principles (testing, CI/CD, system design)

✅ Fluent in English — written and spoken

✅ Pragmatic, systems-oriented, and passionate about building AI that actually works in the wild

Why Join Us?

Because great AI isn’t measured in papers — it’s measured in uptime, user trust, and real-world utility. If you're ready to ship intelligence at scale, let’s talk.

📍 Hybrid role – West Jakarta

🧠 Tech stack: Python, PyTorch, FastAPI, Docker, AWS/GCP, Git, CI/CD