Data Scientist

As a highly skilled Data Scientist specializing in Generative AI, your role at Cradlepoint will involve leading the design and implementation of production-grade, cloud-native AI and NLP solutions to drive business value and enhance decision-making processes. You will play a crucial role in shaping advanced AI technologies and leading teams in developing cutting-edge solutions. Key Responsibilities: - Architect and design AI and NLP solutions to tackle complex business challenges and support strategic decision-making. - Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. - Spearhead the integration of Generative AI techniques in production systems for innovative solutions like chatbots, automated document generation, and workflow optimization. - Guide teams in conducting comprehensive data analysis to extract actionable insights from large datasets and communicate findings effectively to stakeholders. - Collaborate with cross-functional teams to integrate AI models into production environments, ensuring scalability, reliability, and performance. - Stay updated on advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms for complex challenges. - Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. - Ensure AI solutions are built with scalability, reliability, and compliance in mind. Required Qualifications: - Minimum experience in AI, machine learning, or a similar role with a proven track record of delivering AI-driven solutions (specific years of experience to be determined by the hiring team). - Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. - Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. - Deep understanding and experience with distributed data processing using Spark. - Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. - Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. - Knowledge in designing cloud-native architectures and microservices for AI/ML applications. As a highly skilled Data Scientist specializing in Generative AI, your role at Cradlepoint will involve leading the design and implementation of production-grade, cloud-native AI and NLP solutions to drive business value and enhance decision-making processes. You will play a crucial role in shaping advanced AI technologies and leading teams in developing cutting-edge solutions. Key Responsibilities: - Architect and design AI and NLP solutions to tackle complex business challenges and support strategic decision-making. - Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. - Spearhead the integration of Generative AI techniques in production systems for innovative solutions like chatbots, automated document generation, and workflow optimization. - Guide teams in conducting comprehensive data analysis to extract actionable insights from large datasets and communicate findings effectively to stakeholders. - Collaborate with cross-functional teams to integrate AI models into production environments, ensuring scalability, reliability, and performance. - Stay updated on advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms for complex challenges. - Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. - Ensure AI solutions are built with scalability, reliability, and compliance in mind. Required Qualifications: - Minimum experience in AI, machine learning, or a similar role with a proven track record of delivering AI-driven solutions (specific years of experience to be determined by the hiring team). - Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. - Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. - Deep understanding and experience with distributed data processing using Spark. - Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. - Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-w