Junior Machine Learning Engineer - LLM

The company

We run a marketplace with over 300,000 active sellers and fulfillment centres in four regions. Our office has a quiet floor and a loud floor.

Role overview

Brickframe is hiring a Junior Machine Learning Engineer - LLM to work remotely from India. The ML Platform team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. We are headquartered in Jerusalem and have been hiring remotely since 2020. You will be employed through our employer-of-record partner in India, with a local contract and salary paid in Indian rupees. Working hours overlap with Central European Time. We use Slack, Notion and Google Meet. Cameras on for team calls.

Responsibilities

Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM. Productionize data science prototypes without rewriting everything. Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure. Cut inference cost with quantization, batching and caching. Track experiments, artifacts and versions in MLflow or Weights & Biases. Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow. Set up evaluation harnesses and regression tests for model quality.

Skills and experience

Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML). Comfortable with SQL and large-scale data processing in Spark or Ray. Hands-on experience with PyTorch, TensorFlow or JAX.

Compensation and benefits

Rate: ₹24,00,000 - ₹31,00,000 per annum

Performance bonus. Paid parental leave. Co-working space stipend. Two weeks of paid leave at year end.

If you are shortlisted, we will reach out to set up a first call.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Brickframe Ltd..