AI/ML Engineer

Job Details

2+ years (or strong project portfolio); Remote/Hybrid; Full-time

Job Summary

Own the ML lifecycle from data preparation to model deployment for applied business use-cases.

Responsibilities

• Develop end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation

• Experiment with classical ML and deep learning techniques where appropriate

• Collaborate with engineering to integrate models into production services

• Monitor model performance and iterate to improve accuracy and robustness

• Document assumptions, metrics, and results clearly

  Requirements

• Solid Python skills and experience with libraries such as scikit-learn, pandas, NumPy

• Understanding of supervised/unsupervised learning and evaluation metrics

• Experience with model serving or MLOps is a plus

• Comfortable working with real-world, messy datasets

• Strong communication and collaboration skills

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