Posted Apr 18, 2026
Key Responsibilities:
Design and implement state-of-the-art GenAI solutions, including multi-modal, document understanding models and agents. - Build and optimize RAG pipelines, demonstrating knowledge of various RAG architectures. - Develop and maintain agentic workflows using tools like LangGraph, LangChain. - Work with large-scale datasets, ensuring efficient data processing pipelines. - Perform statistical analysis, algorithm development, and performance tuning. - Collaborate with open-source LLMs and deploy them on serving frameworks such as sglang and vllm. - Stay updated with the latest developments in GenAI and ML, actively contributing to knowledge sharing. Qualification Required:
Bachelor's degree (Masters preferred) in Computer Science, Data Science, AI/ML, or related field. - Minimum 3 years of experience in machine learning, data science, or AI roles. - Strong command of Python and familiarity with other scripting languages. - Hands-on experience with deep learning, transformer-based models, and multi-modal learning. - Proficiency in AI/ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face Transformers. - Strong understanding of statistics, linear algebra, and probability theory. - Experience working with cloud environments, preferably Azure. - Exposure to OpenAI, Anthropic, Mistral, or similar APIs, and deployment of open-source models (LLaMA, MPT, etc.). - Demonstrated experience in document AI, vision-language models, or OCR-based understanding systems. Key Responsibilities:
Design and implement state-of-the-art GenAI solutions, including multi-modal, document understanding models and agents. - Build and optimize RAG pipelines, demonstrating knowledge of various RAG architectures. - Develop and maintain agentic workflows using tools like LangGraph, LangChain. - Work with large-scale datasets, ensuring efficient data processing pipelines. - Perform statistical analysis, algorithm development, and performance tuning. - Collaborate with open-source LLMs and deploy them on serving frameworks such as sglang and vllm. - Stay updated with the latest developments in GenAI and ML, actively contributing to knowledge sharing. Qualification Required:
Bachelor's degree (Masters preferred) in Computer Science, Data Science, AI/ML, or related field. - Minimum 3 years of experience in machine learning, data science, or AI roles. - Strong command of Python and familiarity with other scripting languages. - Hands-on experience with deep learning, transformer-based models, and multi-modal learning. - Proficiency in AI/ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face Transformers. - Strong understanding of statistics, linear algebra, and probability theory. - Experience working with cloud environments, preferably Azure. - Exposure to OpenAI, Anthropic, Mistral, or similar APIs, and deployment of open-source models (LLaMA, MPT, etc.). - Demonstrated experience in document AI, vision-language models, or OCR-based understanding systems.
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