A leading technology company based in Austin, Texas, is seeking an experienced ML Engineer to work on Generative AI projects. Responsibilities include developing and optimizing Large Language Models, managing cloud-based ML pipelines, and collaborating with cross-functional teams to align technical solutions with business needs. The ideal candidate should have over 10 years of experience, expertise in Python, and familiarity with AWS cloud platforms. This position offers a dynamic working environment with a focus on innovation.
Qualifications
10+ years of experience as an ML Engineer, focusing on Generative AI or NLP.
Strong proficiency in Python and IDEs such as AWS Kiro.
Hands-on experience with LLMs like GPT-4 and RAG architectures.
Responsibilities
Architect, fine-tune, and deploy Large Language Models.
Build and maintain scalable ML pipelines in cloud environments.
Engage stakeholders and present AI methodologies.
Skills
Python
Deep learning frameworks (PyTorch or TensorFlow)
AWS skills (S3, Lambda, Glue, SageMaker, Bedrock)
Communication skills
Docker
Kubernetes
MLOps
Education
Engineering degree in computer science or equivalent
Tools
GitHub Co-pilot
Job description
A leading technology company based in Austin, Texas, is seeking an experienced ML Engineer to work on Generative AI projects. Responsibilities include developing and optimizing Large Language Models, managing cloud-based ML pipelines, and collaborating with cross-functional teams to align technical solutions with business needs. The ideal candidate should have over 10 years of experience, expertise in Python, and familiarity with AWS cloud platforms. This position offers a dynamic working environment with a focus on innovation.