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 current 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:
- Design robust system architectures using frameworks like FastAPI and Unicorn to support AI-driven applications.
- 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:
- Monitor AI model performance, applying ML engineering metrics to continuously improve outcomes.
- 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 new features and code implementations.
- Ensure step-by-step deployment and retraining documentation, with minimal user-reported gaps or confusion.

Desired Candidate Profile:

- 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 (India)
🏢 Aptech
📍 India