DevOps Technical Staff Engineer
4 weeks ago
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
Job Description:
We are seeking a highly skilled and experienced Software Engineer to join our team. In this role, you will be responsible for developing AI assistant tools and microservices, with a focus on writing code and performing prompt engineering to communicate with LLM APIs. Additionally, you will contribute your expertise in DevOps, Kubernetes, and AI-related technologies to ensure seamless integration and deployment of AI models.
Responsibilities:
Develop and maintain AI assistant tools and microservices as part of a collaborative team. Work closely with DevOps engineers to integrate AI models into the deployment pipeline. Create and maintain CI/CD processes for AI assistant tools and microservices. Collaborate with the development team to ensure adherence to best practices and coding standards. Stay up to date with the latest advancements in AI, DevOps, Kubernetes, and related technologies. Contribute to the development and improvement of internal AI code review processes and guidelines.Requirements:
Proficiency in programming languages commonly used in AI development, such as Python. Knowledge of machine learning concepts and algorithms. Experience with Retrieval-Augmented Generation (RAG) and vector DBs such as Weaviate DB, Llama index, and LangChain. Solid understanding of DevOps principles and practices. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes. Familiarity with CI/CD tools and processes. Experience with cloud platforms like Azure or GCP is a plus Familiarity with version control systems, particularly Git and GitHub. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and meet project deadlines.Preferred Qualifications:
Previous experience in deploying AI models in production environments. Bachelor's or master's degree in Computer Science, Engineering, or a related field.Location:
Markham
#LI-PA1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
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