Generative AI & Automation Expert - Python

Role Overview: As a Generative AI & Automation Expert at Drishti IAS, you will be responsible for leading the development and enhancement of AI-driven educational tools and automation infrastructure. Your role will involve building and maintaining AI solutions to improve learner experiences, automate content generation processes, and ensure operational excellence through automation. You will play a key role in implementing generative AI features and optimizing workflow automation to streamline organizational processes. Key Responsibilities: - Design, develop, and maintain scalable AI infrastructure to support educational and operational requirements. - Deploy and fine-tune local large language models (LLMs) to ensure high performance, reliability, and cost efficiency. - Enhance educational applications by implementing generative AI capabilities such as chatbots, automated quiz generation, and summarization tools. - Develop automated systems for generating educational content like test series questions and learning materials. - Deploy automation tools to streamline organizational workflows and improve productivity across various teams. - Implement AI-driven analytical tools to evaluate sales and support interactions and provide actionable insights to management. - Lead and collaborate with cross-functional teams to integrate advanced AI and automation solutions. - Create comprehensive documentation of processes, workflows, and system architectures. - Provide training and mentorship to team members to foster innovation and maintain technological advancements. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. - Minimum of 5 years of experience specializing in generative AI, LLMs, and automation. - Proven experience in developing AI solutions within EdTech or related sectors. - Hands-on expertise with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. - Practical experience in deploying and fine-tuning models like Deepseek, Mistral, or Llama. - Strong programming skills in Python, FastAPI, and containerization technologies like Docker. - Experience with workflow automation tools such as n8n and Zapier. - Knowledge of cloud services like AWS, Azure, GCP, and vector databases such as Weaviate, Qdrant, Pinecone. - Familiarity with MLOps practices and CI/CD pipelines is advantageous. - Strong analytical thinking, problem-solving abilities, communication, and interpersonal skills. - Capacity to independently manage projects and handle multiple priorities effectively. (Note: Any additional details of the company were not present in the provided job description),