As a Data and Analytics professional in our organization, you will be involved in designing and implementing cutting-edge Gen AI applications using LLMs such as GPT, Claude, and Llama, as well as multimodal models. Your responsibilities will include developing prompt engineering strategies, fine-tuning models for accuracy, optimizing outputs, and building AI pipelines for text, image, audio, and video generation. Additionally, you will integrate AI models into existing systems using APIs like OpenAI, Anthropic, and Hugging Face. Collaboration with product, design, and engineering teams will be crucial to translate business needs into AI-driven features. You will conduct experiments, evaluate models, and enhance performance using technologies like RLHF, embeddings, and retrieval-augmented generation (RAG). Staying updated on the latest trends in AI research, model architectures, and generative technologies will be an essential part of your role. Ensuring compliance with ethical AI practices, data privacy, and model governance policies will also be a key aspect of your work. **Key Responsibilities:**
Design and implement Gen AI applications using LLMs and multimodal models
Develop prompt engineering strategies, fine-tune models, and optimize outputs
Build and deploy AI pipelines for text, image, audio, and video generation
Integrate AI models into existing systems using APIs
Collaborate with cross-functional teams to translate business needs into AI-driven features
Conduct experiments, perform model evaluation, and improve performance using various technologies
Stay updated on emerging trends in AI research, model architectures, and generative technologies
Ensure compliance with ethical AI practices, data privacy, and model governance policies
**Qualifications Required:**
Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers
Familiarity with LLM APIs, vector databases such as FAISS and Pinecone, and RAG frameworks like LangChain and LlamaIndex
In addition to the mandatory skills mentioned above, the following qualifications are preferred:
Experience in building chatbots, copilots, or AI assistants
Contributions to open-source AI projects or published research in AI/ML
If you have 4-8 years of experience and hold an educational qualification of B.Tech, M.Tech, MBA, or MCA, with a Bachelor of Engineering or MBA degree, we encourage you to apply for this role. Join our team and be part of driving innovation and growth through smarter data analytics. As a Data and Analytics professional in our organization, you will be involved in designing and implementing cutting-edge Gen AI applications using LLMs such as GPT, Claude, and Llama, as well as multimodal models. Your responsibilities will include developing prompt engineering strategies, fine-tuning models for accuracy, optimizing outputs, and building AI pipelines for text, image, audio, and video generation. Additionally, you will integrate AI models into existing systems using APIs like OpenAI, Anthropic, and Hugging Face. Collaboration with product, design, and engineering teams will be crucial to translate business needs into AI-driven features. You will conduct experiments, evaluate models, and enhance performance using technologies like RLHF, embeddings, and retrieval-augmented generation (RAG). Staying updated on the latest trends in AI research, model architectures, and generative technologies will be an essential part of your role. Ensuring compliance with ethical AI practices, data privacy, and model governance policies will also be a key aspect of your work. **Key Responsibilities:**
Design and implement Gen AI applications using LLMs and multimodal models
Develop prompt engineering strategies, fine-tune models, and optimize outputs
Build and deploy AI pipelines for text, image, audio, and video generation
Integrate AI models into existing systems using APIs
Collaborate with cross-functional teams to translate business needs into AI-driven features
Conduct experiments, perform model evaluation, and improve performance using various technologies
Stay updated on emerging trends in AI research, model architectures, and generative technologies
Ensure compliance with ethical AI practices, data privacy, and model governance policies
**Qualifications Required:**
Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers
Familiarity with LLM APIs, vector databases such as FAISS and Pinecone, and RAG frameworks like LangChain and LlamaIndex
In addition to the mandatory skills mentioned above, the following qualifications are preferred:
Experience in building chatbots, copilots, or AI assistants
Contributions to open-source AI projects or published research in AI/ML
If you have 4-8 years of experience and hold an educational qualification of B.Tech, M.Tech, MBA, or MCA, with a Bachelor of Engineering or MBA degree, we encourage you to apply for this role. Join our te
