Role Overview

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams.

You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production‑ready systems.

Key Responsibilities

• Problem Framing & Stakeholder Partnership
  • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)
  • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, dat...