Machine Learning Intern

4 weeks ago


India Infrabyte Consulting Full time

Job Description Machine Learning Intern (Paid Internship) Company: Infrabyte Consulting Location: Remote Duration: 13 Months Stipend: 15,000 per month Job Type: Internship (Full-Time) Opportunity: Certificate of Internship + Full-Time Role Based on Performance About Infrabyte Consulting Infrabyte Consulting is a technology-driven IT and analytics company providing innovative AI, machine learning, and data-driven solutions. We help organizations improve efficiency, automate processes, and unlock insights using advanced algorithms and intelligent systems. Role Overview We are seeking a highly motivated Machine Learning Intern to join our AI & Data Science team. This internship offers hands-on experience in ML model building, data preprocessing, and working with real-world datasets under expert guidance. Key Responsibilities Clean, preprocess, and analyze datasets for machine learning projects. Build and evaluate ML models using algorithms such as regression, classification, clustering, and decision trees. Work with Python libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or Keras. Assist in developing and optimizing ML pipelines. Conduct exploratory data analysis (EDA) and create visualizations. Collaborate with the team to integrate ML models into applications. Document experiments, results, and model performance metrics. Requirements Currently pursuing or recently completed a degree in Machine Learning, Data Science, Computer Science, or a related field. Strong understanding of Python and ML fundamentals. Familiarity with libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch. Basic knowledge of statistics, probability, and data preprocessing techniques. Good problem-solving skills and analytical thinking. Eagerness to learn and work on real-world AI/ML projects. Perks & Benefits Stipend of 15,000 per month. Internship certificate upon successful completion. Mentorship from experienced ML engineers and data scientists. Opportunity to work on live AI/ML projects. Full-time role opportunity based on performance.



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