Data Scientist

Job Title: Data Scientist Company: Celebal Technologies Job Category: Machine Learning Roles & Responsibilities: Job Description Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. We help you to discover the competitive advantage by employing intelligent data We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical The successful candidate will focus on developing,designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences. Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities * Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI * Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, * Data Management & Feature Engineering: Work with large datasets, perform data preprocessing, * Model Evaluation & Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1- score). Monitor model performance to address drift, overfitting, and bias. scalability in system architecture and development. Work closely with other engineers to review algorithms, and product managers to integrate machine learning solutions into production. Stay up to date with the Work Location: Jaipur, Rajasthan, India Availability: Full time

Qualifications * Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, * Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. * Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model * Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, * Model Deployment & Automation: Experience with deploying machine learning models into production * Code Review & System Design: Experience in code review, design optimization, and ensuring quality in Soft Skills & Behavioural Qualifications Key Skills: Machine Learning, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, Feature Engineering, NLP Salary: Not disclosed