- Minimum of 2+ years of experience in AI-based application development and able to create Python APIs.
- Design, develop, and implement generative AI models using state-of-the-art techniques.
- Fine-tune pre-existing models to improve performance and accuracy.
- Develop and implement generative AI models with a robust understanding of deep learning techniques such as GPT, VAE, and GANs.
- Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.
- Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications.
- Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
- Test and validate AI models to ensure they meet quality standards and fulfill business objectives.
- Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems.
- Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques.
- Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Optimize AI models for performance, efficiency, and scalability,



ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure.
- Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech.
- Ensure the scalability, reliability, and performance of AI-based applications and systems.
- Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage.
- Expertise in Python programming and frameworks like FastAPI, Django etc
- Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks.
- Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions.
- Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform.
- Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques.
- Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning.
- A proven track record of delivering impactful AI-driven solutions.
- The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.

Job Type: Full-time

Pay: ₹700,000.00 - ₹1,200,000.00 per year

Benefits:

- Health insurance
- Provident Fund

Location Type:

- In-person

Experience:

- total work: 3 years (Preferred)

Work Location: In person

📌 AI/ML Developer (Science City)
🏢 MindInventory
📍 Science City