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10.0 - 14.0 years
0 Lacs
maharashtra
On-site
You will be heading the Data Analytics and AI team within the Enterprise Technology Group with a primary purpose of leading and developing a robust team focused on driving the company towards a data-first and data-driven organization. Your role will involve delivering and maintaining smart data-driven solutions essential for growth and operational efficiency. Accelerating the adoption and implementation of AI solutions to enhance innovation and competitive advantage will be a key aspect. Managing all aspects of new data analytics and AI projects from inception to delivery, including day-to-day operations, will be crucial, with a strong emphasis on assessing business value, ROI, and cost reduction. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Math, Quantitative Methods, or Information Systems, with over 10 years of overall technology experience, including substantial experience in data analytics and AI. Proficiency in programming languages such as Python, R, or similar, as well as a deep understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis is preferred. Familiarity with data science concepts, statistical and mathematical methods, and various Data & AI technologies/tools is essential. Located in Mumbai, this is a full-time office-based position within the Enterprise Technology Group, reporting to the Head of the same group. The key responsibilities will include leading and developing a strong data analytics and AI team, establishing best practices for data analytics and responsible AI initiatives, managing all stages of AI and LLM projects, collaborating with stakeholders to gather requirements, and implementing advanced models and algorithms to solve complex business problems. Staying updated with the latest advancements in AI and LLM technologies will also be a critical aspect of the role. Key behavioral strengths required for this position include excellent analytical, problem-solving, and decision-making skills, proven leadership abilities, effective communication and collaboration skills, and the capacity to work with diverse stakeholders. Joining CulverMax Entertainment Pvt Ltd will offer you the opportunity to work with some of India's leading entertainment channels and OTT platforms, alongside a progressive and inclusive work culture that celebrates diversity and innovation. As a part of the team, you will contribute to creating exceptional content and experiences while being recognized as an Employer of Choice in various prestigious awards and accolades.,
Posted 1 month ago
5.0 - 9.0 years
0 Lacs
maharashtra
On-site
As the leader of the data analytics and AI team, you will play a crucial role in driving our organization towards a data-first and data-driven approach. Your primary responsibility will be to deliver and maintain smart data-driven solutions that are essential for our growth and daily operations. By accelerating the adoption of AI solutions, you will enhance efficiency, foster innovation, and gain a competitive advantage for the company. Your role will involve overseeing all aspects of new data and AI projects, from their inception to delivery, with a strong emphasis on assessing business value, ROI, and cost reduction. Your key responsibilities will include leading and developing a robust data analytics and AI team, establishing best practices and methodologies for data analytics and responsible AI initiatives, managing and overseeing AI and LLM projects, building relationships with business process owners, collaborating with internal and external stakeholders, developing advanced models and algorithms, addressing data mining performance issues, and staying updated on the latest advancements in AI and LLM technologies to improve project outcomes. Preferred skills for this role include proficiency in programming languages such as Python, R, or similar, understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), clustering techniques, and principal component analysis. Additionally, familiarity with data science concepts including statistics, probability, data transformation, visualization, storytelling, and deep learning, as well as expertise in statistical and mathematical methods and data & AI technologies/tools like ML Ops, ETL, data lakes, graph databases, NLK, and data optimization will be beneficial for success in this position.,
Posted 1 month ago
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