Role Artifact Geeks is looking for a highly skilled Data Science Trainer who can deliver practical, project-driven training to students and professionals. The ideal candidate should have strong expertise in Data Science, Machine Learning, Python, and relevant tools, along with the passion to teach complex concepts in a simple and engaging way. Responsibilities 1. Training Delivery Conduct high-quality training sessions (online/offline) on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Machine Learning (Supervised & Unsupervised) Deep Learning (Neural Networks, CNN, RNN – optional but preferred) Data Visualization (Matplotlib, Seaborn, Power BI/Tableau) SQL & Database concepts NLP & advanced ML techniques (preferred) Model deployment (Flask, FastAPI, Docker, cloud deployment) Provide hands-on coding demonstrations and real-world projects. Conduct assessments, assignments, and doubt-clearing sessions. 2. Curriculum & Content Development Create and update course modules, slides, project work, and coding exercises. Ensure curriculum aligns with industry demands and job requirements. Prepare real-world datasets and case studies for practice. 3. Student Mentorship Guide learners on coding practices, ML algorithms, and project execution. Provide feedback on assignments, data cleaning tasks, and model-building work. Help students prepare for interviews and portfolio-building on GitHub, LinkedIn, etc. 4. Evaluation & Coordination Track student performance and maintain progress reports. Coordinate with internal teams for scheduling and batch management. Conduct mock interviews, tests, and hands-on activities. Skills Technical Skills Must have strong knowledge of: Python (NumPy, Pandas, SciPy, Scikit-learn) Statistics, Probability, Linear Algebra Machine Learning algorithms Deep Learning frameworks (TensorFlow / PyTorch) – preferred Data visualization tools SQL and databases Cloud basics (AWS/GCP/Azure) – bonus Model deployment Jupyter Notebooks, Git, version control Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 2–7 years of industry experience in Data Science / ML. Prior teaching experience is a plus but not mandatory. Portfolio of projects or Kaggle/GitHub profile preferred. Soft Skills Excellent communication and presentation skills. Ability to explain complex mathematical concepts in simple terms. Strong analytical and problem-solving abilities. Patience, enthusiasm, and passion for teaching. Job Types: Full-time, Permanent, Internship Contract length: 12 months Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person
Role Artifact Geeks is looking for a highly skilled Data Science Trainer who can deliver practical, project-driven training to students and professionals. The ideal candidate should have strong expertise in Data Science, Machine Learning, Python, and relevant tools, along with the passion to teach complex concepts in a simple and engaging way. Responsibilities 1. Training Delivery Conduct high-quality training sessions (online/offline) on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Machine Learning (Supervised & Unsupervised) Deep Learning (Neural Networks, CNN, RNN – optional but preferred) Data Visualization (Matplotlib, Seaborn, Power BI/Tableau) SQL & Database concepts NLP & advanced ML techniques (preferred) Model deployment (Flask, FastAPI, Docker, cloud deployment) Provide hands-on coding demonstrations and real-world projects. Conduct assessments, assignments, and doubt-clearing sessions. 2. Curriculum & Content Development Create and update course modules, slides, project work, and coding exercises. Ensure curriculum aligns with industry demands and job requirements. Prepare real-world datasets and case studies for practice. 3. Student Mentorship Guide learners on coding practices, ML algorithms, and project execution. Provide feedback on assignments, data cleaning tasks, and model-building work. Help students prepare for interviews and portfolio-building on GitHub, LinkedIn, etc. 4. Evaluation & Coordination Track student performance and maintain progress reports. Coordinate with internal teams for scheduling and batch management. Conduct mock interviews, tests, and hands-on activities. Skills Technical Skills Must have strong knowledge of: Python (NumPy, Pandas, SciPy, Scikit-learn) Statistics, Probability, Linear Algebra Machine Learning algorithms Deep Learning frameworks (TensorFlow / PyTorch) – preferred Data visualization tools SQL and databases Cloud basics (AWS/GCP/Azure) – bonus Model deployment Jupyter Notebooks, Git, version control Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 2–7 years of industry experience in Data Science / ML. Prior teaching experience is a plus but not mandatory. Portfolio of projects or Kaggle/GitHub profile preferred. Soft Skills Excellent communication and presentation skills. Ability to explain complex mathematical concepts in simple terms. Strong analytical and problem-solving abilities. Patience, enthusiasm, and passion for teaching. Job Types: Full-time, Permanent, Internship Contract length: 12 months Pay: ₹20,000.00 - ₹50,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person
Job Overview We are looking for an enthusiastic and knowledgeable Digital Marketing Trainer who can deliver high-quality, practical, and industry-relevant training to students and professionals. The ideal candidate should have hands-on experience in multiple digital marketing domains and a passion for teaching. Responsibilities 1. Training & Delivery Conduct live online/offline classes on Digital Marketing topics including: SEO (On-page, Off-page, Technical SEO) Google Ads (Search, Display, Video, Shopping) Social Media Marketing (Facebook, Instagram, LinkedIn) Content Marketing Email Marketing (Mailchimp, automation tools, deliverability basics) Analytics (Google Analytics, Tag Manager) WordPress basics for website setup AI tools for digital marketing Deliver practical, project-based learning sessions. Provide real-time demonstrations, case studies, and hands-on assignments. 2. Curriculum & Content Development Create and update training materials, presentations, assignments, and assessments. Ensure the curriculum aligns with industry trends and best practices. Develop real-world projects for students to enhance practical understanding. 3. Student Support & Guidance Mentor students individually and help them with queries and practical tasks. Provide feedback on assignments, campaigns, and projects. Prepare students for interviews and guide them on career paths in digital marketing. 4. Performance Tracking Monitor student progress and maintain attendance, assessment reports, and performance logs. Coordinate with the admin team for batch management and scheduling. Experience Technical Skills Strong practical knowledge of: SEO tools (Ahrefs, SEMrush, Google Search Console) Google Ads Manager Facebook Ads Manager Google Analytics GA4 Canva (optional but preferred) Email marketing platforms WordPress & basic website optimization AI tools for digital marketing (ChatGPT, Gemini, Midjourney, etc.) Qualifications Bachelor’s degree in Marketing, Business, Communications, or related field. Minimum 2–5 years of hands-on experience in Digital Marketing. Prior teaching or training experience is a plus. Soft Skills Excellent communication and presentation skills. Patience, clarity, and ability to simplify complex topics. Passion for teaching and helping students grow. Strong organizational and time-management abilities. Job Types: Full-time, Part-time, Permanent, Internship, Freelance Contract length: 12 months Pay: ₹20,000.00 - ₹50,000.00 per month Expected hours: 48 per week Work Location: In person