Location: Mumbai Brief Job Description: - Generative AI Solution Development: - Develop and implement advanced solutions using Generative AI technologies, leveraging frameworks such as Python, LangChain, and HuggingFace. - Engage in prompt engineering, working with Large Language Models (LLMs) to create tailored AI-driven solutions. - Ensure response accuracy of prompts. Make sure the prompts generate desired outcomes and adhere to instructions. - Model Fine-Tuning and Optimization: - Fine-tune pre-trained models from HuggingFace and other platforms to meet project-specific requirements. - Optimize AI models for efficiency, accuracy, and scalability in educational contexts. - Achieve minimum accuracy thresholds for models. - Reduce model training time and computational resource usage. - Innovate AI techniques or algorithms at least once per quarter. - Collaboration with Business Teams: - Collaborate with business stakeholders to align AI solutions with organizational goals, translating business requirements into technical specifications. - Participate in cross-functional collaboration meetings, ensuring effective communication of AI model capabilities. - AI Frameworks and Tooling: - Utilize frameworks like LangChain, Cohere, Keras, TensorFlow, and PyTorch for developing, testing, and deploying AI models. - Integrate AI solutions into existing systems for seamless user experiences. - Ensure AI deployment times are within defined timelines (e.g., from training to production). - Maintain model latency below a defined threshold for real-time inference (e.g., under decided milliseconds). - Research and Innovation:



- Stay updated on the latest advancements in Generative AI, machine learning, and deep learning technologies. - Experiment with new methodologies and emerging AI technologies to innovate and enhance existing solutions. - Introduce innovative AI algorithms or approaches at least once per quarter. - System Architecture and Integration: - Ensure AI solutions are scalable, maintainable, and integrated effectively with other system components. - Ensure efficient use of computing resources and optimize costs while maintaining performance standards. - Performance Monitoring and Improvement: - Troubleshoot issues related to model performance and integration, resolving critical bugs quickly. - Reductions in code execution time and model bugs. - Ensure AI-related code has unit testing coverage for robustness. - Documentation: - Provide comprehensive documentation for all developed models, data pipelines, and processes, explaining functionality and edge cases. - Maintain detailed documentation of recent features and code implementations. - Ensure step-by-step deployment and retraining documentation, with mínimal user-reported gaps or confusion. - Education: Bachelor's degree or equivalent experience in Computer Science, AI, or related fields. - Experience: 3-5 years of experience, with at least 1 year specializing in AI/ML. Required Skill Set: - Prompt Engineering - Python Programming - AI and ML Frameworks - Deep Learning Architectures - Mathematical and Statistical Knowledge - System Architecture Design - Model Fine-Tuning - Collaboration and Communication - Continuous Learning

📌 Genai Engineer (Mumbai)
🏢 Aptech
📍 Mumbai