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Key Responsibilities
Deliver structured training sessions and hands-on workshops from 9 AM to 4 PM, Monday to Saturday
Lead practical labs and live coding demonstrations
Address technical and conceptual doubts raised by learners during sessions
Conduct and assess mock tests, coding challenges, and daily tests
Prepare and enhance training material, exercises, and lab setups
Monitor student performance, provide individual feedback, and maintain progress reports
Work closely with the ExcelR and client teams to ensure seamless program execution
Foster a collaborative, engaging, and motivating learning environment
Master's degree (ME/MTech preferred) or BE/BTech with strong industry/domain knowledge
Minimum 4–5 years of experience in training or industry in one or more of the following areas:
Data Science / NLP / Machine Learning / AI
Java Data Structures and Algorithms (DSA)
Full Stack Development using Java
client will provide food, travel, and accommodation arrangements during the contract period
Job ID: 126971297
Skills:
Data Structures, Deep Learning, Tensorflow, Algorithms, Nltk, Pytorch, Agile, Keras, Scrum, Python, Hugging Face, Software Engineering Principles, Generative AI models, SpaCy
Skills:
Compliance, Architectural Design, model validation, AI ML models, AI governance frameworks, ethical use standards, AI ML techniques, AI ML systems design, development tools and platforms
Skills:
Ml, Ai, Functional Role
Skills:
C, Lvm, Design Patterns, Cpu, Windows, Gpu, Pytorch, Python, Java, Cuda, Linux, Os Concepts, Opencl, Kernel Development, Llm, object-oriented software development, TFLite, NPU, Generative AI models, AI hardware accelerators, Fixed-point representations, Quantization concepts, ONNX Runtime, SIMD processor architecture
Skills:
Machine Learning, Neural Networks, Clustering, Deep Learning, Python, LSTMs, Root Cause Analysis, AI System Design, Regression, RAG Systems, GNNs, CNNs, Supervised Classification, Time-Series Forecasting, Transformers, Deep Reinforcement Learning, Knowledge Graphs, Unsupervised Anomaly Detection
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