Data Scientist

Overview

Job Description: We are seeking an experienced Data Scientist with 4-6 years of hands-on experience in developing and deploying AI/Machine Learning models within a IIoT environment. The candidate should have a strong background in Python-based modelling, data pipelines, ETL processes, and interactive data visualizations, as well as a solid understanding of Deep learning, Computer vision, and Generative AI concepts. Key

Responsibilities: Model Development: Develop, test, and refine machine learning and deep learning models for tasks such as predictive maintenance, yield optimization, and quality assurance. Computer Vision & Generative AI: Implement image processing and object detection algorithms and explore generative models (e.g., GPTs) to enhance data-driven decisionmaking processes. Data Handling & ETL: Work with large, complex datasets sourced from IIoT systems; set up and maintain robust ETL pipelines for data ingestion, transformation, and storage. Visualization & Reporting: Build and maintain interactive dashboards to communicate insights, model performance, and recommendations to stakeholders. Collaboration & Documentation: Collaborate with cross-functional teams (data engineers, process engineers, operations, and leadership) to drive data-driven solutions, and maintain thorough documentation of models, methodologies, and workflows. Technical Skills: o Programming: Proficiency in Python and libraries such as NumPy, pandas, scikit-learn. o Machine Learning & Deep Learning: Experience with classical ML algorithms, deep learning frameworks (TensorFlow/PyTorch), and techniques for model deployment and monitoring. o Computer Vision: Familiarity with OpenCV and common CV methodologies for defect detection, segmentation, or classification. o Generative AI: Exposure to LLMs, NLP models, or transformer architectures.

Job Types: Full-time, Contractual / Temporary
Contract length: 6 months

Pay: ₹65,000.00 - ₹75,000.00 per month

Benefits:

• Flexible schedule
• Paid sick time
• Paid time off
• Work from home

Schedule:

• Monday to Friday

Work Location: Remote