- Core Programming: Advanced proficiency in Python, R, and SQL.
- AI/ML Toolkits: Mastery of PyTorch, TensorFlow, Scikit-learn, and specialized Computer Vision libraries (OpenCV, TorchVision).
- Data Processing Infrastructure: Experience handling Time-Series datasets via Apache Spark, Databricks, or cloud platforms (AWS/Azure).
- Compliance Mindset: Strong attention to data integrity, documentation standards, and data lineage in alignment with strict industry safety and quality policies.
Education and Experience
- Education: Minimum of a Bachelor’s degree in Data Science, Computer Science, Bioinformatics, or a related quantitative field. An advanced degree (Master's or Ph.D.) with computational life-science exposure is highly preferred.
- Experience: 5+ years of production-level experience designing, testing, and deploying enterprise-grade data science models or AI applications.
- Domain Exposure: Experience handling sensor telemetry, biological test outputs, or healthcare/medical-device datasets is a significant advantage.
📌 Senior AI Data Scientist / AI - Remote Work (Bengaluru)
🏢 TWO95 International
📍 Bengaluru
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