Site Reliablity Engineer

About the role

This role offers an exceptional runway to accelerate your career in AI/ML engineering, working directly alongside seasoned data scientists and principal engineers to transform complex real-world data into actionable, production-grade enterprise tools.

What you'll do

• Data Engineering & Preprocessing: Own data collection, sanitization, exploratory analysis, and feature engineering tasks to ensure data quality, consistency
• Testing, Verification & Code Health: Execute routine testing, debugging, and comprehensive documentation of ML codebases and pipelines to ensure reproducible
• ML Integration & Operationalization: Support the integration of trained models into enterprise-grade applications
• Cross-Functional Collaboration: Partner with senior engineers and domain specialists to translate ambiguous business requirements into well-defined machine learning…

What you need

• 1–3 years in data science & ai
• Machine learning
• Deep learning
• LLMs
• Python
• Pandas
• Scikit-learn
• B.Sc or B.Tech or B.E. or BCA

Good to have

• MLOps
• Data modelling
• AWS
• NumPy
• PyTorch
• TensorFlow