Data Scientist - R&D

Job Description

Company: Blubridge Technologies Pvt Ltd Role: Data Scientist - R&D Vacancies: 15 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors or Masters degree in Computer Science, IT, AI, Electronics & Communication, Data Science, etc. Job Location: Mandaveli, Chennai Analyze and preprocess large-scale datasets to ensure data quality and reliability. Develop and implement statistical and machine learning models, including transformer-based algorithms. Conduct exploratory data analysis to derive meaningful insights for research projects. Systematically explore and optimize hyperparameters and scaling laws to enhance model accuracy and efficiency. Collaborate with cross-functional teams to develop and refine experimental workflows. Implement comprehensive data collection strategies, scraping publicly available multi-domain sources for diverse content. Perform advanced preprocessing and deduplication, ensuring data is cleaned, normalized, and consistent. Design and manage rigorous quality assurance pipelines to validate data quality, diversity, and representativeness. Employ innovative multilingual tokenization and document packing techniques for efficient and cohesive context learning. Document methodologies, results, and contribute to research publications. Stay updated on the latest research methodologies, tools, and techniques in data science and AI. Requirements: Strong foundation in mathematics and statistics, including calculus, linear algebra, probability, and statistical inference. Excellent analytical and logical reasoning skills. Bachelors/Masters/PhD in Data Science, Statistics, Computer Science, AI, Machine Learning, or related fields. Added Advantage: Proficiency in Python and familiarity with relevant data science libraries (NumPy, Pandas, SciPy, Matplotlib, Scikit-learn). Good understanding of machine learning concepts and techniques. Demonstrated ability to work effectively within a collaborative research environment. Experience or familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face. Knowledge of distributed computing and optimization for GPU-based environments. Prior research experience or publications in data science or related fields. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Access to high-performance computing resources for data analysis and modeling. Access to the latest tools and technologies in AI.