Description

You will design and build data science solutions for large-scale systems, owning the full lifecycle from analysis to production deployment.

This role is hybrid.

Responsibilities

• Conduct in-depth analysis of datasets, validate hypotheses, and extract significant features.
• Build, train, and deploy machine learning models into production environments.
• Design and implement high-performance algorithms for distributed data processing.
• Optimize models for production-level performance and accuracy.
• Lead technical implementation and integration of data science models.

Required Skills

• 5+ years of hands-on experience in data science.
• Expert proficiency in Python, NumPy, Pandas, TensorFlow, and PyTorch.
• Proven experience deploying complex models and production-level systems.
• Ability to analyze technical trade-offs and design robust data streaming systems.
• Experience in software development suitable for production environments.
• Bachelor's degree or equivalent experience in Computer Science and Engineering.

Key Skills

Education

Any Graduate