Graduate Machine Learning Engineer

About Roussel Systems:

Everything runs on a single Rails app and one Postgres database, deployed on Heroku.

What this job is:

Roussel Systems is hiring a Graduate Machine Learning Engineer to work remotely from Bangladesh. The operations team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. You will be employed through our employer-of-record partner in Bangladesh, with a local contract and salary paid in taka. Core hours are 10:00 to 15:00 CET.

What you'll work on:

• Fine-tune open-weight models with LoRA when it beats prompting.
• Set up evaluation harnesses and regression tests for model quality.
• Productionize data science prototypes without rewriting everything.
• Monitor models for drift, data quality issues and latency regressions.
• Handle on-call for the ML services the team owns.
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow.

Requirements:

• 1-2 years of software engineering experience, with at least two spent on ML systems in production.
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.
• Hands-on experience with PyTorch, TensorFlow or JAX.
• Comfortable with SQL and large-scale data processing in Spark or Ray.

Nice to have:

• CUDA or Triton kernel experience.
• Published papers or open source ML contributions.
• Guardrails, red teaming or safety evaluation for LLM features.

What we offer:

• Flexible hours.
• Two weeks of paid leave at year end.
• Stock options.
• Annual learning budget.

Due to the number of applications, only shortlisted candidates will be contacted.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Roussel Systems EURL.