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Urgent! Senior Data Scientist - Artificial Intelligence Job Opening In Pune – Now Hiring Infinity Career Edge

Senior Data Scientist Artificial Intelligence



Job description

<p>Job Summary :<br/><br/> - 10 years of strong technical background, including a deep understanding of AI concepts and methodologies.<br/><br/> - 3- 5 years hands on experience with LLM (commercial and open source), LangChain, LlamaIndex, agentic AI, Retrieval Augmented Generation, and Vector Databases<br/><br/> - 3-5 years of experience with graph databases (Neo4J and Cypher would be a big plus<br/><br/> - Txt2sql hand on experience is a plus<br/><br/> - Programing languages such as Python and Java and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Scipy, Pandas, etc<br/><br/> - Solid understanding of experimental design, hypothesis testing, and casual inference methods<br/><br/> - Experience working with agile methodologies and tools.<br/><br/> - A passion for innovation and a desire to push the boundaries of AI.<br/><br/> - Financial industry experience would be a plus.<br/><br/> Key Responsibilities :<br/><br/>- Leverage 10+ years of technical expertise to design and implement AI solutions, including a comprehensive understanding of AI concepts and methodologies.<br/><br/></p><p>- Utilize 3- 5 years of hands-on experience with LLMs (both commercial and open-source), LangChain, LlamaIndex, agentic AI, Retrieval-Augmented Generation (RAG), and vector databases to develop and deploy advanced AI applications.<br/><br/></p><p>- Apply 3-5 years of experience with graph databases, particularly Neo4j and Cypher, to model and query complex data structures effectively.<br/><br/> Required Skills and Experience :<br/><br/>- Demonstrate proficiency in programming languages such as Python and Java, and utilize libraries/frameworks like TensorFlow, PyTorch, scikit-learn, SciPy, and Pandas for data analysis and machine learning tasks.<br/><br/>- Apply solid understanding of experimental design, hypothesis testing, and causal inference methods to validate AI models and algorithms.<br/><br/>- Collaborate within agile teams, utilizing agile methodologies and tools to deliver AI solutions efficiently.<br/><br/></p><p>- Foster a passion for innovation, continuously exploring new AI techniques and methodologies to push the boundaries of AI capabilities.<br/><br/>- Experience in the financial industry is advantageous, providing context for applying AI solutions in financial applications.<br/><br/> Preferred Qualifications :<br/><br/>- Extensive experience in AI/ML, with a focus on LLMs, graph databases, and vector-based retrieval systems.<br/><br/>- Proficiency in programming languages and AI/ML frameworks.<br/><br/>- Strong analytical skills, with expertise in statistical analysis and experimental design.<br/><br/>- Experience working in agile environments, with a collaborative approach to problem-solving.<br/><br/>- Interest in the financial industry and its applications of AI technologies.<br/><br/>Education : BE/Btech/BCA/MCA or similar qualification<br/> </p> (ref:hirist.tech)


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