Senior AI Data Scientist / AI - Remote Work

TWO95 International, Inc; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

TWO95 International, Inc. seeks a senior data scientist to design, test, and deploy enterprise-grade AI models. The ideal candidate will have strong Python, R, and SQL skills, plus hands-on experience with PyTorch, TensorFlow and Scikit-learn, and data processing on Spark/Databricks in cloud environments.

Experience with sensor telemetry, healthcare datasets, and strong data governance practices will be highly valued. A master’s/PhD with computational life-science exposure is preferred.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Bioinformatics, or related quantitative field; advanced degree preferred.
• 5+ years of production-level experience designing, testing, and deploying enterprise-grade data science models or AI applications.
• Experience handling sensor telemetry, biological test outputs, or healthcare/medical-device datasets is advantageous.

Skills

Python

R

SQL

PyTorch

TensorFlow

Scikit-learn

OpenCV

TorchVision

Apache Spark

Databricks

AWS

Azure

Data governance

Education

Bachelor’s degree in Data Science, Computer Science, Bioinformatics, or related quantitative field

Bachelor’s degree in Computer Science

Master’s degree or Ph.D. with computational life-science exposure

Tools

Apache Spark

Databricks

AWS

Azure

Job description

Required Technical Skills & Competencies

• 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.