Machine Learning Engineer Intern

0 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Position: Machine Learning Engineer Intern Organization: TechKnowledgeHub.org Location: Remote / Hybrid / On-site (if applicable) Duration: 3–6 Months | Flexible Timings Stipend: Performance-Based / Certificate & LOR Provided About Us: TechKnowledgeHub.org is an emerging platform committed to empowering learners and professionals with cutting-edge knowledge in technology, data science, AI, and beyond. We provide hands-on training, industry-oriented projects, and real-world experience to bridge the gap between academia and industry. Internship Role Overview: We are looking for passionate and curious Machine Learning Engineer Interns who want to build real-world AI/ML applications and contribute to impactful projects. This role offers a unique opportunity to work closely with experienced mentors, learn industry practices, and strengthen your ML skillset. Responsibilities: Collaborate with the AI/ML team to design, develop, and deploy ML models Work on supervised and unsupervised learning algorithms, data preprocessing, and feature engineering Analyze large datasets and build models for prediction/classification Assist in developing APIs or deploying models using tools like Flask, FastAPI, or Streamlit Document code, experiments, and results for knowledge sharing Requirements: Good understanding of Python and core ML libraries (scikit-learn, pandas, NumPy, etc.) Knowledge of key ML algorithms like regression, decision trees, clustering, etc. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus Ability to work with datasets, preprocess data, and validate model performance Strong willingness to learn and contribute proactively What You’ll Gain: Hands-on experience with live ML projects Mentorship from experienced professionals Internship Certificate & Letter of Recommendation Exposure to deployment, version control (Git), and collaborative workflows Opportunity to be featured on TechKnowledgeHub’s platform for outstanding work How to Apply: Send your updated resume and a short statement about your interest in ML to resume@techknowledgehub.org Show more Show less

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