IBM AI Architect 

India, Karnataka, Bengaluru 

108138157

• Demonstrated leadership with around 20 years of experience in the systems industry. Has around 7-10 years of experience exclusively in designing enterprise AI product. Proven ability to lead teams and take ownership of end-to-end activities.
• Ability to architect AI solutions and lead complex AI missions.
• Strong working experience in the big endian systems, network concepts, GPUs.
• Strong grounding in traditional AI methodologies, covering machine learning and deep learning frameworks, with the capacity to guide and mentor team members.
• Proficient in utilizing model serving platforms such as TGIS and vLLM, with a knack for overseeing project implementations from conception to delivery.
• Preferred expertise in transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion), coupled with hands-on involvement in testing AI algorithms and models.
• Preferred expertise in parallel programming, HPC
• Mastery of Python, C++, Go, Java, and relevant ML libraries (e.g., TensorFlow, PyTorch) for developing top-tier, production-grade products. Proven ability to lead technical teams in the implementation of complex solutions.
• Familiarity with Linux platforms and experience in Linux app development, demonstrating leadership in guiding teams through the development lifecycle.
• Experience in Generative AI is highly advantageous, with the ability to provide leadership and direction in exploring innovative AI techniques.
• Proficiency in AI compiler/runtime skills, showcasing leadership in driving optimization efforts and performance enhancements.
• Highly valued for open-source contribution, exhibiting leadership by actively participating in and guiding team members through contributions to open-source AI projects and frameworks.
Your Role and Responsibilities

• What you will do (Roles & Responsibilities):
• Lead the development and deployment of AI products in production environments, 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 large language models (LLMs) in production environments, demonstrating hands-on expertise in distributed systems, microservice architecture, and REST APIs.
• 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 under your direct leadership, 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.

Required Technical and Professional Expertise

• AI Enterprise product Leadership:
• Over 12 years of extensive experience in demonstrating solid Architecting, coding skills, leadership capabilities, and end-to-end ownership of Enterprise AI product.
• Deep background in machine learning, deep learning, serving as a mentor and leader in these domains.
• Expertise with product design, design principles and integration with various other enterprise products.
• Strong skills in programing with Java, Scala, Python, or
• Strong skills in frontend UI development like React, Node.js
• Model Development Expertise:
• Hands-on expertise with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion), showcasing mastery in model development and optimization.
• Desirable experience in rigorously testing AI algorithms and models, ensuring robustness and reliability in real-world applications.
• Traditional AI Methodologies Mastery:
• Demonstrated proficiency in traditional AI methodologies, including mastery of machine learning and deep learning frameworks.
• Familiarity with model serving platforms such as TGIS and vLLM, with a track record of leading teams in effectively deploying models in production environments.
• Proficient in developing optimal data pipeline architectures for AI applications, taking ownership of designing scalable and efficient solutions.
• Full-Stack Development Leadership:
• Proficient in full-stack development, spanning frontend (HTML, CSS, JavaScript) and backend (Django, Flask, Spring Boot), with hands-on experience integrating AI technology into full-stack projects.
• Demonstrated leadership in guiding teams through the integration of AI tech into complex full-stack applications.
• Problem-Solving and Optimization Skills:
• Demonstrated strength in problem-solving and analytical skills, with a track record of optimizing AI algorithms for performance and scalability.
• Leadership in driving continuous improvement initiatives, enhancing the efficiency and effectiveness of AI solutions.

Preferred Technical and Professional Expertise

• Leadership in AI/ML and Data Science:
• Over 12 years of demonstrated leadership in AI/ML and Data Science, driving the development and deployment of AI models in production environments with a focus on scalability, reliability, and efficiency.
• Ownership mentality, ensuring tasks are driven to completion with precision and attention to detail.
• Algorithm Implementation Mastery and Optimization:
• Proven track record of hands-on implementation and optimization of machine learning algorithms, neural networks, and statistical modeling techniques, showcasing expertise in solving complex problems effectively.
• Leadership in guiding teams through algorithm implementation and optimization processes, ensuring tasks are completed with efficiency and accuracy.

• Development of Large Language Models (LLMs):
• Hands-on experience in the development and deployment of large language models (LLMs) in production environments, demonstrating proficiency in distributed systems, microservice architecture, and REST APIs.
• Leadership in owning the end-to-end development process of LLMs, from ideation to deployment, ensuring seamless integration into production workflows.
• Commitment to Continuous Learning and Contribution:
• Demonstrated dedication to continuous learning and staying updated with the latest advancements in AI/ML technologies.
• Proven ability to contribute actively to the development and improvement of AI frameworks and libraries, showcasing leadership in driving innovation within the organization.
• Effective Communication and Collaboration:
• Strong communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
• Excellence in interpersonal skills, fostering collaboration and teamwork across diverse teams to drive projects to successful completion.”