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About the role
As a Data and Analytics professional at our company, you will play a crucial role in helping organizations unlock insights, drive business outcomes, and stay ahead in the dynamic landscape of customers and technology. Your responsibilities will include: - Designing and implementing Gen AI applications utilizing LLMs such as GPT, Claude, Llama, and multimodal models. - Developing engineering strategies, fine-tuning models, and optimizing outputs for accuracy and relevance. - Building and deploying AI pipelines for text, image, audio, and video generation. - Integrating AI models into existing systems through APIs like OpenAI, Anthropic, Hugging Face, and more. - Collaborating with product, design, and engineering teams to translate business requirements into AI-driven features. - Conducting experiments, evaluating models, and enhancing performance using RLHF, embeddings, and retrieval-augmented generation (RAG). - Staying abreast of emerging trends in AI research, model architectures, and generative technologies. - Ensuring adherence to ethical AI practices, data privacy, and model governance policies. Mandatory Skill Sets: - Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). - Familiarity with LLM APIs, vector databases like FAISS, Pinecone, and RAG frameworks such as LangChain, LlamaIndex. Preferred Skill Sets: - Experience in developing chatbots, copilots, or AI assistants. - Contributions to open-source AI projects or published research in AI/ML. Years of Experience Required: - 4-8 years Education Qualification: - B.Tech / M.Tech / MBA / MCA Degrees/Field of Study Required: - Bachelor of Engineering, MBA (Master of Business Administration) In this role, your expertise in Python, PyTorch, and related technologies will be essential. Your ability to innovate, collaborate, and adapt to the evolving AI landscape will be key in driving success for both our clients and our organization. As a Data and Analytics professional at our company, you will play a crucial role in helping organizations unlock insights, drive business outcomes, and stay ahead in the dynamic landscape of customers and technology. Your responsibilities will include: - Designing and implementing Gen AI applications utilizing LLMs such as GPT, Claude, Llama, and multimodal models. - Developing engineering strategies, fine-tuning models, and optimizing outputs for accuracy and relevance. - Building and deploying AI pipelines for text, image, audio, and video generation. - Integrating AI models into existing systems through APIs like OpenAI, Anthropic, Hugging Face, and more. - Collaborating with product, design, and engineering teams to translate business requirements into AI-driven features. - Conducting experiments, evaluating models, and enhancing performance using RLHF, embeddings, and retrieval-augmented generation (RAG). - Staying abreast of emerging trends in AI research, model architectures, and generative technologies. - Ensuring adherence to ethical AI practices, data privacy, and model governance policies. Mandatory Skill Sets: - Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). - Familiarity with LLM APIs, vector databases like FAISS, Pinecone, and RAG frameworks such as LangChain, LlamaIndex. Preferred Skill Sets: - Experience in developing chatbots, copilots, or AI assistants. - Contributions to open-source AI projects or published research in AI/ML. Years of Experience Required: - 4-8 years Education Qualification: - B.Tech / M.Tech / MBA / MCA Degrees/Field of Study Required: - Bachelor of Engineering, MBA (Master of Business Administration) In this role, your expertise in Python, PyTorch, and related technologies will be essential. Your ability to innovate, collaborate, and adapt to the evolving AI landscape will be key in driving success for both our clients and our organization.
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