Generative AI and LLM Specialist

Summary

Join our team as a Generative AI and LLM Specialist to design, develop, and deploy generative AI models. You will collaborate with Data Engineering and Software Engineering teams, utilizing tools like LangChain and focusing on natural language understanding and processing. Responsibilities include ensuring smooth integration of AI models into production systems, continuous learning in AI/ML, and championing ethical AI development. You will need expertise in machine learning, NLP, and experience with LLMs such as OpenAI, GoogleAI, and Claude. Proficiency in Python and AI/ML libraries is essential. An advanced degree in a related field is preferred.

Requirements

• Your background in machine learning and deep learning, particularly in neural networks and NLP, sets the foundation for success
• Experience working with OpenAI, GoogleAI, Claude and similar LLMs
• With Python fluency and familiarity with AI/ML libraries and tools, including LangChain, OpenAI's GPT, TensorFlow, and PyTorch, you’re equipped to innovate
• Experience with distributed computing for AI is essential, as is the ability to navigate the complexities of GPU or TPU utilization
• Exceptional problem-solving skills, innovative thinking, and the ability to collaborate effectively across teams are crucial
• A solid understanding of ethical AI principles underpins everything we do
• Proficiency in Google Colab, Postman or similar API platforms is vital for prototyping and testing AI models

Responsibilities

• Spearhead the design, development, and deployment of generative AI models with a focus on natural language understanding and processing
• Engage with and contribute to libraries and frameworks such as LangChain, ensuring our application development is as efficient as it is innovative
• Ensure a smooth partnership with Data Engineering and Software Engineering teams for flawless integration of AI models into production systems
• Keep up with the rapid advancements in AI/ML, including emerging tools, libraries, and best practices, applying this knowledge to propel our projects forward
• Champion ethical AI development, prioritizing fairness, unbiased outcomes, and privacy

Preferred Qualifications

• Engage in research and development activities, exploring avant-garde ways to leverage generative AI for business and product innovation
• Offering technical leadership in AI/ML can greatly enhance our journey towards achieving project goals with excellence
• An advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is valued
• Contributions to open-source AI/ML projects reflect a commitment to the broader AI community
• Knowledge specific to our project domains (e.g., healthcare, finance, law) can significantly guide AI application development
• Previous leadership roles in AI/ML projects or teams can contribute to your success and growth with us