AI Engineer

About the position

This position is for a AI Engineer who is well versed with System skills and strong back end development knowledge in C++. The engineer will get to lead in building AI libraries, frameworks and solutions for IBM Z systems.

Responsibilities

• Lead Development and deployment of AI frameworks, leveraging deep expertise in AI/ML and Data Science to ensure scalability, reliability, and efficiency.
• Direct the implementation and optimization of machine learning algorithms, neural networks, and statistical modeling techniques, personally driving solutions for complex problems.
• Personally oversee the development and deployment of AI solutions in production environments.
• Collaborate closely with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, taking a hands-on approach to ensure seamless integration and efficiency.
• Proactively stay abreast of the latest advancements in AI/ML technologies and actively contribute to the development and improvement of AI frameworks and libraries, leading by example in fostering innovation.
• Effectively communicate technical concepts to non-technical stakeholders, showcasing excellent communication and interpersonal skills while leading discussions and decision-making processes.
• Uphold industry best practices and standards in AI engineering, maintaining unwavering standards of code quality, performance, and security throughout the development lifecycle.
• Demonstrate leadership in the use of container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, personally overseeing deployment strategies and optimizations.

Requirements

• Bachelor's Degree
• Deep experience in demonstrating coding skills, teaming capabilities, and end-to-end understanding of Enterprise AI product.
• Deep background in machine learning, deep learning.
• Expertise with product design, design principles and integration with various other enterprise products.
• Strong skills in programming with C++, Python.
• Hands-on expertise with traditional machine learning, transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion).
• Demonstrated proficiency in traditional AI methodologies, including mastery of machine learning and deep learning frameworks.
• Familiarity with model serving platforms such as Triton inference server, TGIS and vLLM.
• Proficient in developing optimal data pipeline architectures for AI applications.
• Demonstrated strength in problem-solving and analytical skills.
• Proficient in backend C++, with hands-on experience integrating AI technology into full-stack projects.

Nice-to-haves

• Over 13 years of demonstrated leadership in AI/ML and Data Science.
• Proven track record of hands-on implementation and optimization of machine learning algorithms.
• Hands-on experience in the development and deployment of large language models (LLMs) in production environments.
• Demonstrated dedication to continuous learning and staying updated with the latest advancements in AI/ML technologies.
• Strong communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.