Were looking for a hands-on AI Architect to join our companys Platform infrastructure (Gen AI applications team) where you'll have the unique opportunity to collaborate with our companys strategic technical leadership and the development of next-generation technologies for modern software release management, driving the industry forward.
As an AI Architect at our company you will.
Design, develop, and implement various ML and AI-based solutions to address business needs and objectives
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI solutions
Explore and experiment with novel ML and AI techniques and architectures to drive innovation
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
Influence the AI priorities of the company. Your decisions will shape our future direction in AI, and have a significant impact on our companys AI initiatives.
As an AI Architect at our company you will.
Design, develop, and implement various ML and AI-based solutions to address business needs and objectives
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI solutions
Explore and experiment with novel ML and AI techniques and architectures to drive innovation
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
Influence the AI priorities of the company. Your decisions will shape our future direction in AI, and have a significant impact on our companys AI initiatives.
Requirements:
A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in developing LLM-based application architectures
Proficiency in ML along with relevant tools, processes, and frameworks, such as TensorFlow, PyTorch, Keras, natural language processing (NLP), and reinforcement learning from human feedback (RLHF)
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Strong communication skills and the ability to collaborate effectively in a team.
A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in developing LLM-based application architectures
Proficiency in ML along with relevant tools, processes, and frameworks, such as TensorFlow, PyTorch, Keras, natural language processing (NLP), and reinforcement learning from human feedback (RLHF)
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Strong communication skills and the ability to collaborate effectively in a team.
This position is open to all candidates.
