Job
Description
PLEASE READ THE JD BEFORE APPLYING TO THIS POSITION. All applications will be considered. CodeGrads is a recently launched EdTech startup seeking a passionate GenAI & ML Trainer to join our team. We offer university-affiliated certification and Diploma courses to upskill in AIML and GenAI for beginners and professionals. Kindly apply for this post if you are interested in a Trainer's position. Job Type : Full time, Permanent Designation : Data Scientist Role : GenAI & AIML Trainer *This is not a AIML Engineer's position. Key Responsibilities: Collate, develop and enhance training materials, including presentations, projects, assignments, and assessments. Build the curriculum of each module and plan live training sessions. Deliver live training sessions on Data Analytics, ML, DL, NLP, GenAI, and AI tools/libraries . Collaborate with the digital media team to create AIML video content for Youtube and self-paced learning courses. Stay updated on emerging AIML technologies and integrate them into the curriculum. Evaluate learners' progress through assessments, quizzes, and project reviews. Provide one-on-one mentorship to help students overcome learning challenges. Conduct webinars, workshops, and promotional activities to engage potential learners. Key Requirements: Excellent Communication Skills is paramount for this role(AIML Trainer). You'll be ideal if you can speak and interact fluently during online presentations. Certifications in GenAI , AIML, Data Science, or a related field. Experience in GenAI, AIML development and training. Proficiency in Python, GenAI & AIML frameworks (various Python libraries). Strong understanding of ML algorithms, deep learning, model optimization, and evaluation metrics, data visualization and analytics, Pandas etc. Practical experience in basic GenAI fields like RAG, LLMs, DataFrame Agents , Prompt Templates and Prompting techniques . Good Communication skills with the ability to simplify complex concepts. Passion for teaching and mentoring learners. If you're excited about shaping the future of AI education, we'd love to hear from you! Preferred candidate profile The ideal candidate should be well-spoken , fluent in English with good presentation skills and have expertise in GenAI, Machine Learning, Deep Learning, Data Analytics , along with a strong base in these concepts in order to be able to pass on the teachings to students and mentor them as their guide. Perks and benefits Work From Home Referral Bonus Prformance Bonus Interview Format: Round 1: Telephonic 10-15m (Phone) Round 2: Technical Screening 30-45m (Google Meet) Round 3: HR 15-30m (Google Meet)
