Padmi

Director of Data Science

Delhi NCRPosted 2 months ago
Data Science And StatisticsStaff+Full Time; Regular
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As a Director of Data Science at Talent Nexa Consulting, you will be responsible for leading data science initiatives and driving innovation both within the company and for clients. Your expertise in deep learning, particularly in the development of large language models, will be crucial in this senior-level position based in Delhi. Key Responsibilities: - Lead the data science department, driving strategic initiatives aligned with the company's business goals. - Develop and enhance AI models using deep learning techniques and large language models. - Collaborate with engineering and product teams to integrate data-based innovations into products and services. - Implement best practices and advancements in data science to improve decision-making procedures. - Ensure proper utilization of data science tools and platforms to generate business insights and enhance performance. - Oversee research activities to explore new methodologies and improve existing strategies in data science. - Mentor and nurture a team of data scientists, encouraging professional growth and knowledge sharing. - Communicate complex data concepts in clear terms to non-technical stakeholders and executive management. Qualifications and Skills: - Experience in deep learning with a proven track record (Mandatory skill). - Expertise in LLMs, with a deep understanding of their architecture and application (Mandatory skill). - Proven research skills with a strong background in theoretical and applied methodologies (Mandatory skill). - Proficiency in Retrieval-Augmented Generation (RAG) techniques and their implementation in complex projects. - Extensive experience in data science, including knowledge of modern approaches and frameworks. - Strong proficiency in TensorFlow and PyTorch for developing and deploying scalable models. - Ability to strategically manage and lead a team to achieve data-driven goals and innovative solutions. - Excellent communication skills for effective collaboration with cross-functional teams and stakeholders. As a Director of Data Science at Talent Nexa Consulting, you will be responsible for leading data science initiatives and driving innovation both within the company and for clients. Your expertise in deep learning, particularly in the development of large language models, will be crucial in this senior-level position based in Delhi. Key Responsibilities: - Lead the data science department, driving strategic initiatives aligned with the company's business goals. - Develop and enhance AI models using deep learning techniques and large language models. - Collaborate with engineering and product teams to integrate data-based innovations into products and services. - Implement best practices and advancements in data science to improve decision-making procedures. - Ensure proper utilization of data science tools and platforms to generate business insights and enhance performance. - Oversee research activities to explore new methodologies and improve existing strategies in data science. - Mentor and nurture a team of data scientists, encouraging professional growth and knowledge sharing. - Communicate complex data concepts in clear terms to non-technical stakeholders and executive management. Qualifications and Skills: - Experience in deep learning with a proven track record (Mandatory skill). - Expertise in LLMs, with a deep understanding of their architecture and application (Mandatory skill). - Proven research skills with a strong background in theoretical and applied methodologies (Mandatory skill). - Proficiency in Retrieval-Augmented Generation (RAG) techniques and their implementation in complex projects. - Extensive experience in data science, including knowledge of modern approaches and frameworks. - Strong proficiency in TensorFlow and PyTorch for developing and deploying scalable models. - Ability to strategically manage and lead a team to achieve data-driven goals and innovative solutions. - Excellent communication skills for effective collaboration with cross-functional teams and stakeholders.

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