Machine Learning Engineer

Develop generative AI solutions for engineering problems using prompt engineering and multi-agent systems
Design and implement advanced GenAI applications using foundation models and LLMs
Build and optimize RAG systems for technical documentation and engineering knowledge bases
Research and implement state-of-the-art generative AI techniques for engineering applications
Stay current with advances in GenAI, particularly in engineering applications
Mandatory Skills:

Proficiency in Python and generative AI frameworks
Strong experience with foundation models, LLMs, and GenAI applications
Hands-on experience with LLM agent orchestration and prompt engineering
Nice-to-Have Skills:

Experience with generative AI model fine-tuning and optimization
Familiarity with automated testing methodologies
Experience with cloud platforms for GenAI deployment (AWS, Azure or GCP)
Qualifications:

Bachelor’s degree in Computer Science, Engineering, or related field
Minimum of 1 year of experience in related environment.