About the Role
Rubrich Technologies is looking for a motivated and technically oriented Data Scientist to join our team and contribute to real-world Data Science, Artificial Intelligence, Machine Learning, and Deep Learning projects.
This opportunity is suitable for freshers and candidates with up to 2 years of experience who have a solid interest in developing data-driven solutions, implementing machine learning methodologies, and working on research-oriented technical projects.

Key Responsibilities
• Collect and prepare datasets from relevant sources.
• Perform data cleaning and preprocessing, including normalization, resizing, and transformation.
• Prepare training, testing, and validation datasets.
• Develop and implement proposed algorithms for assigned projects.
• Train, test, and validate machine learning and deep learning models.
• Perform prediction, classification, and optimization based on project requirements.
• Implement AI/ML solutions using Python and relevant frameworks.
• Generate process-wise outputs and analyze experimental results.
• Create charts, graphs, maps,



and other visualizations to present data and results.
• Evaluate proposed algorithms using appropriate performance metrics.
• Perform comparative analysis and model optimization.
• Maintain technical documentation and research reports.

Required Skills
• Python, NumPy, Pandas and Scikit-learn
• Machine Learning and Deep Learning
• TensorFlow / Keras and PyTorch
• Neural Networks and CNN architectures
• Data preprocessing and feature engineering
• Model training, testing and validation
• Data visualization
• Algorithm development and optimization
• Research and analytical problem-solving skills

Eligibility
• B.E / B.Tech / M.E / M.Tech / MCA
• B.Sc / M.Sc in relevant disciplines
• Freshers and candidates with 0–2 years of experience can apply
• Strong interest in Data Science, AI, Machine Learning and Analytics

What You Can Expect
• Exposure to real-world Data Science and AI/ML project

📌 Data Scientist (Erode)
🏢 Rubrich Technologies
📍 Erode