Overview
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Data scientist (RAG) 2.Job summary : As a Data scientist (RAG) specializing in AI and ML concepts, you will play a pivotal role in designing and implementing cutting-edge AI functional architectures. With a focus on data science work models, you will contribute to innovative solutions that drive the companys success. This hybrid role offers the opportunity to work in a dynamic environment, leveraging your expertise to make a significant impact. 3.Experience : 12to16Yrs 4.Required Skills : ,Data Science,AI&ML Concepts,AI Functional Architecture 5.Nice to have skills : 6.Technology : -Not Applicable 7.Shift : Day 8.Responsibilities : - Lead the design and development of AI functional architectures that align with business objectives and technological advancements. - Oversee the implementation of AI and ML solutions, ensuring they meet performance and scalability requirements. - Provide technical guidance and mentorship to team members, fostering a culture of innovation and continuous improvement. - Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes. - Analyze complex data sets to identify patterns and insights that drive strategic decision-making. - Develop and maintain documentation for AI architectures, ensuring clarity and accessibility for stakeholders. - Evaluate emerging AI technologies and recommend their adoption to enhance the companys competitive edge. - Ensure compliance with industry standards and best practices in AI and data science. - Optimize AI models for efficiency and accuracy, balancing computational resources and performance. - Facilitate workshops and training sessions to enhance the teams understanding of AI and ML concepts. - Monitor the performance of AI systems and implement improvements as necessary. - Engage with stakeholders to gather requirements and translate them into technical specifications. - Contribute to the companys thought leadership in AI by publishing research and presenting at conferences. Qualifications - - Possess a deep understanding of AI and ML concepts, with a proven track record in designing AI architectures. - Demonstrate expertise in data science work models, with the ability to apply them effectively in real-world scenarios. - Exhibit strong problem-solving skills, with the ability to analyze complex data and derive actionable insights. - Show proficiency in programming languages commonly used in AI and ML, such as Python or R. - Have experience with AI frameworks and tools, such as TensorFlow or PyTorch. - Display excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Hold a degree in Computer Science, Engineering, or a related field, with relevant certifications in AI or data science