3Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. Your invaluable expertise will serve as the cornerstone in shaping the future direction of our endeavors.
This role is the primary expert within the AI LLM, GenAI and RAG area. The Lead AI/ML Engineer contributes to design the AI/ML strategic choices and technical standards, including software coding standards, tools, and platforms. The ideal candidate will thrive in a collaborative environment and be engaged in the development process.
Key Responsibilities (Tech Stack)
- AI Experience:
- NLP, use of pre-trained or commercial LLMs, GenAI, and RAG.
- AWS services experience: Comprehend, SageMaker.
- Experience with any AWS database.
- Experience deploying models in AWS Cloud Services.
- GitHub.
- Knowledge of Docker Containers.
- Contribute to code reviews, documentation and architectural artifacts.
- Manage risk identification and risk mitigation strategies associated with the architecture.
- Active leader in the Architecture Practice community, mentoring Engineers and others through Communities of Practice (CoPs) or on project teams, supporting the growth of technical capabilities.
Minimum Qualifications
- A Bachelor's degree or higher in Computer Science or a related field.
- A minimum of 6+ years of experience/expertise working with LLMs, NLP, and other AI and ML strategies with proficiency in the specified technologies above:
- Must have good expertise in testing AI Models.
- Build reusable code and libraries for future use.
- Communicate in a clear and understandable manner with clients and managers.
- Demonstrated problem solving, analytic and troubleshooting skills.
- Should have experience working in Agile (awareness of user stories, story estimation in story points, etc.).
