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Job Title


Data Scientist


Company : Diligente Technologies


Location : Bangalore, Karnataka


Created : 2026-04-10


Job Type : Full Time


Job Description

Looking for: Data ScientistJob Type: Full timeLocation: Bangalore, IndiaDescription: Looking for a passionate Data Scientist to join growing AI team. As an early member of the team, you will play a key role in designing and building advanced AI systems that power platform.This role sits at the intersection of AI engineering and applied data science, requiring strong experience working with complex and messy datasets. You will help transform raw construction product data into structured intelligence that powers search, recommendation, and automation workflows across our platform.What You Will Achieve and Key ResponsibilitiesData Engineering & Data Science• Work with large, messy, and unstructured datasets, transforming them into structured formats that improve model performance.• Gather, clean, and structure datasets from multiple sources to support AI training pipelines.• Build systems that enable the team to maintain high-quality datasets and drive model accuracy over time.• Analyze complex datasets to identify patterns, trends, and insights that improve product discovery and recommendations.Scalable AI Infrastructure • Design and build end-to-end data pipelines and machine learning pipelines.• Develop scalable systems capable of handling large volumes of construction product data.• Work with engineering teams to deploy models into production systems.Product Development & Collaboration• Work closely with product managers, designers, and engineers to integrate AI capabilities into applications.• Own product features from concept through implementation and deployment.• Communicate technical findings through visualizations, reports, and dashboards that support product and business decisions.Research & Innovation• Stay current with the latest developments in machine learning, deep learning, and AI frameworks.• Contribute to broader AI research and development initiatives.• Uphold culture of engineering excellence through high-quality code and thoughtful system design.Required Qualifications• Prior and relevant experience of 3-5 years• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related technical field.• Strong conceptual understanding of machine learning, statistics, and data modeling.• Proven experience working with large, messy, or unstructured datasets, including cleaning, structuring, and transforming data for analysis and model training.• Strong programming skills in Python and SQL (R is a plus).• Experience implementing machine learning projects using libraries such as NumPy, Pandas, scikit-learn, and Matplotlib.• Experience training deep learning models using TensorFlow/Keras or PyTorch.• Strong knowledge of statistics, probability, and machine learning techniques such as regression, classification, and clustering.• Ability to write clean, efficient, and maintainable code.• Ability to take ownership of projects and drive initiatives from concept through production deployment.Preferred Qualifications• Experience building data pipelines and ML pipelines for production systems.• Familiarity with AWS infrastructure and Django-based applications.• Experience working with OCR pipelines, document processing, or PDF data extraction.• Familiarity with data visualization tools such as Tableau or Power BI.• Strong knowledge of algorithms and data structures.• Participation in Kaggle competitions, competitive programming, or open-source contributions.• Experience collaborating with distributed teams across multiple time zones.