Junior Data Scientist

• Research and implement state-of-the-art ML algorithms and tools to build PoCs and MVPs
• Develop, Test, and Deploy machine learning models for various business and Telco use cases.
• Perform data preprocessing, feature engineering and ML/DL model evaluation.
• Optimize and fine-tune models for performance and scalability.
• Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT
• Build and refine RAG models to improve information retrieval and answer generation systems.
• Integrate RAG methods into existing applications to enhance data accessibility and user experience.
• Work closely with cross-functional teams including software engineers, product managers, and domain experts.
• Communicate technical concepts to non-technical stakeholders effectively.
• Document processes, methodologies, and model development for internal and external stakeholders.

Skills:

• Bachelors or master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions.
• Strong knowledge of probability and statistics.
• Working knowledge of machine learning and deep learning skills.
• Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex
• Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode.
• Excellent problem-solving skills and a proactive attitude.
• Strong communication and teamwork abilities.
• Ability to manage multiple projects and meet deadlines
• Interview will involve coding tests.