Mid-Level Data Scientist

3 - 7 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Mid-Level Data Scientist at our company in Noida, you will be an integral part of our AI team focused on GenAI applications. You will play a key role in designing, prototyping, and deploying next-generation AI solutions, particularly in the areas of document understanding and multi-modal tasks. Collaboration with a high-impact team will be crucial as you work at the intersection of multi-modal modeling, Retrieval-Augmented Generation (RAG), and real-time machine learning systems. - Design and implement state-of-the-art GenAI solutions, including multi-modal and document understanding models. - Build and optimize RAG pipelines, demonstrating knowledge of various RAG architectures. - Develop and maintain agentic workflows using tools like LangGraph and LangChain. - Handle large-scale datasets and ensure efficient data processing pipelines. - Conduct statistical analysis, algorithm development, and performance tuning. - Utilize opensource 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 within the team. - Bachelor's degree (Master's preferred) in Computer Science, Data Science, AI/ML, or a related field. - Minimum 3 years of experience in machine learning, data science, or AI roles. - Proficiency in Python and familiarity with R or other scripting languages. - Hands-on experience with deep learning, transformer-based models, and multi-modal learning. - Strong understanding of AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). - Proficient in 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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