Tech Stack
AWSCloudGoogle Cloud PlatformPython
About the role
- Assist in the design and implementation of generative AI solutions, focusing on scalable architectures that integrate LLMs, NLP techniques, and generative models.
- Develop and fine-tune LLMs to meet business needs, optimizing for accuracy, performance, and efficiency.
- Design effective prompts to guide model behavior for specific tasks, and continuously improve prompt quality to enhance results across various applications.
- Build, deploy, and monitor end-to-end machine learning pipelines that integrate LLM-based models into production systems.
- Optimize model performance, reduce inference times, and improve overall system efficiency.
- Work closely with cross-functional teams to translate business requirements into AI-driven solutions.
- Stay up to date with the latest advancements in generative AI and LLM research. Contribute to the development of innovative techniques, frameworks, and algorithms.
- Work closely and collaboratively with other Artisans across all disciplines to deliver excellence and innovation to our clients.
- May be required to travel quarterly, depending on the specific client responsibilities of your role.
- This position requires constant operation of a computer, various software programs and other electronic productivity tools.
- This position requires prolonged observation of a computer screen.
- Regular participation in virtual meetings and trainings.
Requirements
- 7+ years of industry experience
- Expert-level proficiency in Python, including deep experience with Python libraries
- In-depth knowledge and hands-on experience working with state-of-the-art LLMs, including training, fine-tuning, and deploying models
- Familiarity with AWS cloud-based machine learning platforms. Experience with services like AWS SageMaker, GCP AI, or similar.
- Ability to analyze complex problems, design innovative solutions, and troubleshoot issues effectively.
- Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- BS in Computer Science related degree, similar technical field of study or equivalent practical experience
- Prior experience working at an innovative technology consulting firm
- Experience with eCommerce and retail solutions and environments
- Experience with supply chain & logistics solutions and environments