Description:

Join our trailblazing team as a Generative AI and LLM Specialist, focusing on Large Language Models and Generative AI.
We seek someone with a profound understanding of AI/ML, particularly in Natural Language Processing and Generative AI.
Leverage advanced tools like LangChain to craft applications that utilize the capabilities of generative models.
Collaborate closely with our Data Engineering and Software Engineering teams to integrate AI innovations into our system architecture.
Key responsibilities include spearheading the design, development, and deployment of generative AI models, engaging with libraries and frameworks, ensuring smooth partnerships for integration, keeping up with advancements in AI/ML, and championing ethical AI development.

Requirements:

A strong background in machine learning and deep learning, particularly in neural networks and NLP, is essential for success.
Experience with OpenAI, GoogleAI, Claude, and similar LLMs is required, along with fluency in Python and familiarity with AI/ML libraries and tools such as LangChain, OpenAI's GPT, TensorFlow, and PyTorch.
Experience with distributed computing for AI and the ability to navigate GPU or TPU utilization is essential.
Exceptional problem-solving skills, innovative thinking, and effective collaboration across teams are crucial.
A solid understanding of ethical AI principles is necessary.
Proficiency in Google Colab, Postman, or similar API platforms is vital for prototyping and testing AI models.

Engage in research and development activities to explore innovative ways to leverage generative AI for business and product innovation.
Opportunities for technical leadership in AI/ML to enhance project goals.
An advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is valued.
Contributions to open-source AI/ML projects are encouraged, reflecting a commitment to the broader AI community.
Domain expertise in areas such as healthcare, finance, or law can guide AI application development.
Previous leadership experience in AI/ML projects or teams can contribute to personal success and growth within the organization.