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About the role
Role Overview: As an experienced Manager, Machine Learning Engineering at Publicis Sapient, you will lead a team of AI and data science experts to develop and implement solutions that address complex business challenges across various industries. Your role will involve collaborating with cross-functional teams to strategize, develop, and deliver machine learning models tailored to specific business objectives. You will oversee the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and integration into production systems. Key Responsibilities: - Lead the development of state-of-the-art AI and machine learning solutions that transform business strategies and enhance customer experiences - Work closely with cross-functional teams to define and execute data-driven solutions aligned with organizational goals - Build, mentor, and lead a team of talented data scientists to foster a culture of innovation and continuous learning - Translate complex business problems into AI/ML solutions using advanced techniques such as generative AI, deep learning, and NLP - Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines - Customize and fine-tune AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements - Advocate for data-centric approaches to maximize model performance and business impact - Architect and refine AI agents that solve complex business challenges - Innovate with cutting-edge generative AI models to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation - Deploy and scale LLM-based solutions on cloud platforms like GCP, AWS, and Azure - Stay updated with emerging trends and innovations in AI and data science to incorporate the latest advancements into projects Qualifications: - 8 to 14 years of experience with at least 2 years of experience in Generative AI Additional Information: Publicis Sapient is a digital transformation partner that helps established organizations transition to a digitally-enabled state. The company combines strategy, consulting, customer experience, and agile engineering to accelerate clients' businesses. With a team of over 20,000 people in 53 offices worldwide, Publicis Sapient focuses on designing products and services that deliver genuine value to customers. Role Overview: As an experienced Manager, Machine Learning Engineering at Publicis Sapient, you will lead a team of AI and data science experts to develop and implement solutions that address complex business challenges across various industries. Your role will involve collaborating with cross-functional teams to strategize, develop, and deliver machine learning models tailored to specific business objectives. You will oversee the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and integration into production systems. Key Responsibilities: - Lead the development of state-of-the-art AI and machine learning solutions that transform business strategies and enhance customer experiences - Work closely with cross-functional teams to define and execute data-driven solutions aligned with organizational goals - Build, mentor, and lead a team of talented data scientists to foster a culture of innovation and continuous learning - Translate complex business problems into AI/ML solutions using advanced techniques such as generative AI, deep learning, and NLP - Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines - Customize and fine-tune AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements - Advocate for data-centric approaches to maximize model performance and business impact - Architect and refine AI agents that solve complex business challenges - Innovate with cutting-edge generative AI models to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation - Deploy and scale LLM-based solutions on cloud platforms like GCP, AWS, and Azure - Stay updated with emerging trends and innovations in AI and data science to incorporate the latest advancements into projects Qualifications: - 8 to 14 years of experience with at least 2 years of experience in Generative AI Additional Information: Publicis Sapient is a digital transformation partner that helps established organizations transition to a digitally-enabled state. The company combines strategy, consulting, customer experience, and agile engineering to accelerate clients' businesses. With a team of over 20,000 people in 53 offices worldwide, Publicis Sapient focuses on designing products and services that deliver genuine value to customers.
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