Responsibilities :

- Solve complex business challenges by developing and applying LLMs, NLP, CV, and ML techniques.

- Research, develop, and optimize Generative AI models (e.g, Transformers, BERT, GPT, T5 Gemini).

- Advance the field of Generative AI through systematic research and implementation of state-of-the-art techniques.

- Build and integrate cognitive capabilities into multiple products and solutions.

- Develop, fine-tune, and optimize AI/ML models for practical, production-grade deployment.

- Optimize AI models through word embeddings, attention mechanisms, and encoder-decoder architectures.

- Improve prompting strategies by deeply understanding LLM internals and applying robust prompt engineering techniques.

- Conduct systematic studies of AI research trends and apply insights to address next-generation AI challenges.

- Contribute to IP generation and support the patenting of innovative AI solutions.

- Collaborate with multi-functional teams to integrate AI-driven solutions into business applications.

Requirements :

- Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA).

- 7 years of experience in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Computer Vision.

- Proven experience with Generative AI models and prompt engineering.

- Minimum one production implementation of a GenAI project.

- Solid understanding of the end-to-end AI model lifecycle and deployment process.

- Hands-on programming experience in Python (minimum 4 years).

- Proficiency in deep learning frameworks like TensorFlow or PyTorch.

- Strong fundamentals in neural networks : CNNs, RNNs, Transformers, GANs, Attention Mechanisms, and Self-Attention.

- Experience with word embeddings and vector representations (e.g, Word2Vec, FastText, BERT, GPT, T5).

- Experience in LLM fine-tuning, transfer learning, and RAG-based architectures.

- Proficiency in model optimization, engineering, and deployment.

- Experience with Vector Databases (e.g, FAISS, Pinecone) and LangChain.

- Familiarity with cloud AI platforms (AWS, Azure, GCP).

- Understanding of LLMOps and AI Model Development best practices.

Preferred Skills :

- Experience contributing to research papers, patents, or open-source AI projects.

- Strong problem-solving skills and the ability to work in a collaborative, cross-functional environment.

- Excellent communication skills to articulate complex AI concepts to stakeholders