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Company: AMD
Location: Singapore, Singapore
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description



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_



THE ROLE: 

We are looking for a practical and experienced Senior Data and AI Scientist with a strong background in end-to-end development and deployment of AI and machine learning solutions. The ideal candidate should be comfortable working with large-scale datasets and designing algorithmic and scalable solutions. The candidate should also have excellent interpersonal skills for collaborating with engineering and business teams to deliver impactful outcomes.

 

KEY RESPONSIBILITIES: 

  • Design, develop, and deploy end-to-end machine learning pipelines—from data ingestion to model serving
  • Work with large, complex data sets to extract insights and build predictive or decision-support models
  • Implement scalable solutions that integrate with enterprise data and software systems
  • Ensure reliability, maintainability, and performance of deployed models in production environments
  • Collaborate with cross-functional teams to translate real-world challenges into effective data-driven solutions
  • Contribute to internal tooling and frameworks that accelerate AI/ML delivery

 

PREFERRED EXPERIENCE: 

  • 5+ years of hands-on experience in deploying machine learning models and systems in production
  • Strong programming skills in Python, with experience in machine learning and/or deep learning libraries such as pandas, numpy, scikit-learn, PyTorch, or TensorFlow
  • Proven experience working with large-scale data processing, including distributed data environments (e.g., SQL, Spark, or cloud-native solutions)
  • Solid understanding of software engineering practices—version control, CI/CD, unit testing, containerization, and system monitoring, by using tools like GitHub, Bitbucket, etc.
  • Background in the semiconductor or electronics manufacturing domain
  • Contributions to open-source projects or public AI/ML work (e.g., GitHub, blogs, academic publications)
  • Experience with platforms or tools like Snowflake, Databricks, MLflow, Airflow, graph database, LLM and agentic AI framework (e.g., LangChain, etc.).
  • Familiarity with one or both of the following:
  • Large Language Models (LLMs)-based agentic workflow implementations

 

ACADEMIC CREDENTIALS: 

  • Master's or PhD in Computer Science, Data Science, Engineering, or a related technical field

 

LOCATION:

Singapore

 

#LI-JV1

#LI-Hybrid



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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