Software Engineer / ML Engineer / Architect

Confidential

Not specified permanent

Posted: March 2, 2026

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Quick Summary

Build scalable AI/ML pipelines and deliver production-ready models.

Required Skills

Machine Learning Data Engineering Model Deployment TensorFlow PyTorch Statistics Algorithms Production Deployment Data Validation Model Evaluation

Job Description

We are looking for engineers with strong experience in Machine Learning, Data Engineering, and Model Deployment, capable of building scalable AI/ML pipelines and delivering production-ready models.

Key Responsibilities

Develop and train ML/DL models using TensorFlow, PyTorch, or similar frameworks.

Process, explore, and validate large datasets.

Build, tune, and deploy machine learning pipelines.

Conduct statistical analysis, error analysis, and model optimization.

Document experiments, pipelines, and technical decisions.

Collaborate with product and engineering teams to align model design with business needs.

Requirements

Strong knowledge of Python, ML frameworks, statistics, and algorithms.

Experience deploying ML models into production environments.

Experience with data quality validation, model evaluation, and metric monitoring.

Ability to communicate ML concepts to non-technical teams.

Language Requirement

English: B2 required

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