Data Scientist - Gen AI

Cradlepoint is seeking a highly skilled, hands-on Data Scientist - Gen AI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As a Data Scientist specializing in Generative AI, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions.

What You Will Do: Key Responsibilities

• Architect and design AI and NLP solutions to address 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 to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization.
• Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders.
• Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance.
• Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges.
• Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization.
• Ensure that AI solutions are built with scalability, reliability, and compliance in mind.

The Skills You Bring: Required Qualifications

• Experience: Minimum of 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, but a strong portfolio is key).
• GenAI Implementation: 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.
• Programming & Frameworks: Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases.
• Distributed Data Processing: Deep understanding and experience with distributed data processing using Spark.
• Production ML/AI: Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale.
• Open-Source GenAI Models: 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.
• Cloud-Native Architecture: Expertise in designing cloud-native architectures and microservices for AI/ML applications.