Senior Machine Learning Engineer (Fraud Detection)

Headquartered in Dhaka since 2010, the company now sells in 40 countries and supports customers in 11 languages.

Role overview

This is a backfill for a team member who moved to another team. ML engineering role focused on pipelines, serving and monitoring. You'll work alongside data scientists rather than replace them. Remote position. Most of the team is in Dhaka, but nobody is required to come in. Normal working hours, Monday to Friday. Reliable internet and a power backup are a must.

Essential duties and responsibilities

• Document model cards, data sources and known failure modes
• Handle on-call for the ML services the team owns
• Track experiments, artifacts and versions in MLflow or Weights & Biases
• Maintain feature pipelines and a feature store such as Feast or Tecton
• Productionize data science prototypes without rewriting everything

What you need

• 6+ years of software engineering experience, with at least two spent on ML systems in production
• 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
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• Knowledge of LLM APIs, prompt design and evaluation methods
• Experience deploying models as services and monitoring them

Preferred

• Guardrails, red teaming or safety evaluation for LLM features
• Recommendation or ranking systems at scale
• Distributed training with DeepSpeed or FSDP
• Published papers or open source ML contributions

Salary range: BDT 115,000-BDT 155,000 pcm

Perks and benefits

• Medical insurance
• Provident fund
• Paid leave
• Life insurance
• Two bonuses a year

The posting will close once we have a strong shortlist.

Start: Within 30 days.

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