2 Probability Jobs

Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Number systems including Binary, Decimal, Octal, and Hexadecimal, along with conversions between these systems. Understanding signed and unsigned integers, floating-point representation, and bitwise operations such as AND, OR, NOT, XOR, NAND, NOR, and shift operations. Arithmetic operations across number systems, concepts and methods for calculating GCD and LCM, basics of modulo arithmetic, it's principles. Principles of counting, permutations and combinations (with and without repetition), and their real-life applications. Core probability concepts including basic rules, simple probability, and conditional probability. Matrix representation and operations including addition, multiplication, and determinants. Applications in graph representation and linear transformations. Understanding arithmetic and geometric series along with common summation techniques. Fundamentals of set theory, operations like union, intersection, and difference, usage of Venn diagrams, Cartesian products. Requirements: M.Tech or MSc Maths + NET Cleared or Ph.D in Mathematics. Prior experience in teaching or tutoring Mathematics or related topics is an added advantage. Passion for teaching and mentoring, with a commitment to student success. Skills (Must Have) : Strong understanding of core math topics including number systems, modular arithmetic, combinatorics, probability, matrices, series, and set theory. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week

Key Responsibilities: As an Infra AI Automation Programmer you will work on design development and deployment of AI systems that generate content or data often using techniques such as deep learning neural networks and generative models using Python backend coding Meet with clients in and remotely to understand their business objectives challenges and identify potential use cases for Generative AI Assess the client s existing technology infrastructure data landscape and AI maturity to determine the feasibility and best approaches for Gen AI adoption Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions e g content creation customer service product development marketing Gen AI Strategy and Solution Design Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases implementation plans and expected business outcomes Design Gen AI solutions architecture considering factors such as model selection e g large language models LLMs diffusion models data requirements integration with existing systems and scalability Evaluate and recommend appropriate Gen AI platforms tools and APIs e g OpenAI Google AI Azure AI open source libraries relevant to the client s needs and the Indian market Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications Technical Requirements: At least 2 years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow Pytorch Langchain and Prompt Engineering Experience with vector databases and retrieval augmented generation RAG Familiarity with MLOps principles and tools for deploying and managing Gen AI models Understanding of ethical considerations and responsible AI frameworks Understanding of data structures data modelling SQL NOSQL Object oriented and functional programming GIT Knowledge of basic algorithms and object oriented and functional design principles Deep Knowledge of Mathematics Probability Statistics and Algorithms Good Communication skills Good analytical and problem solving skills Additional Responsibilities: Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile These include High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Preferred Skills: Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow,Technology->Machine Learning->Generative AI