AI Intern

As an AI Intern at Soothsayer Analytics, you will have the opportunity to learn real-world AI applications and collaborate with experienced ML and AI engineers on impactful projects. You will work under the guidance of senior professionals, gaining exposure to various aspects of AI and machine learning. Key Responsibilities: - Learning & Research - Explore ML and AI concepts such as regression, classification, clustering, and deep learning. - Experiment with LLMs and GenAI tools like LangChain and basic RAG concepts. - Research and prototype small AI and ML projects. - Data Preparation - Assist in cleaning and preprocessing structured and unstructured datasets. - Support feature engineering and exploratory data analysis. - Development Support - Write basic Python scripts for ML workflows. - Help in preparing notebooks, documenting experiments, and testing models. - Collaboration - Work closely with mentors and team members on applied AI tasks. - Participate in knowledge-sharing sessions and internal hackathons. Qualifications Required: - Education: Bachelors (final year) or Masters student in Computer Science, Data Science, AI, or related fields. - Experience: 01 years including academic projects, personal GitHub work, or hackathons. - Programming: Proficiency in Python (pandas, NumPy, matplotlib). - ML Basics: Familiarity with Scikit-learn for classification and regression tasks. - GenAI Exposure: Understanding of prompting and basic LLM usage. - Databases: Fundamental knowledge of SQL. - Version Control: Basics of Git. - Data Preprocessing / EDA: Experience in data cleaning and exploratory data analysis. This is a great opportunity for fresh graduates and early-career talents to kickstart their career in the field of AI and machine learning. If you are passionate about AI and eager to learn through hands-on projects, this internship at Soothsayer Analytics is the perfect fit for you. Apply now and embark on a journey of growth and learning in the dynamic world of AI and Data Science. As an AI Intern at Soothsayer Analytics, you will have the opportunity to learn real-world AI applications and collaborate with experienced ML and AI engineers on impactful projects. You will work under the guidance of senior professionals, gaining exposure to various aspects of AI and machine learning. Key Responsibilities: - Learning & Research - Explore ML and AI concepts such as regression, classification, clustering, and deep learning. - Experiment with LLMs and GenAI tools like LangChain and basic RAG concepts. - Research and prototype small AI and ML projects. - Data Preparation - Assist in cleaning and preprocessing structured and unstructured datasets. - Support feature engineering and exploratory data analysis. - Development Support - Write basic Python scripts for ML workflows. - Help in preparing notebooks, documenting experiments, and testing models. - Collaboration - Work closely with mentors and team members on applied AI tasks. - Participate in knowledge-sharing sessions and internal hackathons. Qualifications Required: - Education: Bachelors (final year) or Masters student in Computer Science, Data Science, AI, or related fields. - Experience: 01 years including academic projects, personal GitHub work, or hackathons. - Programming: Proficiency in Python (pandas, NumPy, matplotlib). - ML Basics: Familiarity with Scikit-learn for classification and regression tasks. - GenAI Exposure: Understanding of prompting and basic LLM usage. - Databases: Fundamental knowledge of SQL. - Version Control: Basics of Git. - Data Preprocessing / EDA: Experience in data cleaning and exploratory data analysis. This is a great opportunity for fresh graduates and early-career talents to kickstart their career in the field of AI and machine learning. If you are passionate about AI and eager to learn through hands-on projects, this internship at Soothsayer Analytics is the perfect fit for you. Apply now and embark on a journey of growth and learning in the dynamic world of AI and Data Science.