SMTS Product Development Eng.

May 15, 2024
Singapore, Singapore
... Not specified
... Intermediate
Full time
... Office work


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: 

This is a specialized engineering position responsible for Product Engineering program technical planning for next-generation AMD microprocessors. This individual serves as a critical technical point of contact to the business, design, platform validation and product engineering teams. We have competitive benefit packages and an award-winning culture. Join us! 

 

THE PERSON: 

The Machine Learning (ML) Engineer is a technical expert for artificial intelligence (AI) development, deployment, and sustained quality. This position works on development within our custom enterprise yield analytics system. The ML engineer works with business owners to automate analytics, acts as a data scientist to scale that automation, works with developers to integrate automation into the enterprise yield analytics system, monitors model and data quality in production, and identifies opportunities for ML and AI application.

The ideal candidate will have a strong understanding of both machine learning and statistical principles and algorithms, as well as experience with developing and deploying machine learning models in production environments.

 

KEY RESPONSIBILITIES: 

  • Develop expert system and machine learning analytics automation to solve business problems
  • Deploy machine learning models to a production environment
  • Monitor and maintain machine learning models in production environments
  • Work with engineering analysts and data scientists to understand business requirements and translate them into AI solutions
  • Stay up-to-date with the latest trends and advancements in AI and ML and identify opportunities for the team to implement new models and technologies

PREFERRED EXPERIENCE: 

  • Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or related field
  • 8-10 plus of year’s working experience
  • Good working experience in developing and deploying machine learning
  • Experience with Python, scikit-learn, TensorFlow, or similar machine learning frameworks
  • Experience with cloud computing platforms (AWS, Azure, GCP)
  • Experience with software deployment processes including CI/CD pipelines, Agile methodology, and DevOps/MLOps/DataOps
  • Knowledge of both machine learning and statistical analysis principles and algorithms
  • Excellent problem-solving and analytical skills
  • Excellent communication and teamwork skills
  • Excellent organizational and time management skills

ACADEMIC CREDENTIALS: 

  • Bachelors or Master’s in computer engineering or computer science or electrical engineering, or comparable disciplines
     

LOCATION:

Singapore

 

#LI-MM1

#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.

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.

THE ROLE: 

This is a specialized engineering position responsible for Product Engineering program technical planning for next-generation AMD microprocessors. This individual serves as a critical technical point of contact to the business, design, platform validation and product engineering teams. We have competitive benefit packages and an award-winning culture. Join us! 

 

THE PERSON: 

The Machine Learning (ML) Engineer is a technical expert for artificial intelligence (AI) development, deployment, and sustained quality. This position works on development within our custom enterprise yield analytics system. The ML engineer works with business owners to automate analytics, acts as a data scientist to scale that automation, works with developers to integrate automation into the enterprise yield analytics system, monitors model and data quality in production, and identifies opportunities for ML and AI application.

The ideal candidate will have a strong understanding of both machine learning and statistical principles and algorithms, as well as experience with developing and deploying machine learning models in production environments.

 

KEY RESPONSIBILITIES: 

  • Develop expert system and machine learning analytics automation to solve business problems
  • Deploy machine learning models to a production environment
  • Monitor and maintain machine learning models in production environments
  • Work with engineering analysts and data scientists to understand business requirements and translate them into AI solutions
  • Stay up-to-date with the latest trends and advancements in AI and ML and identify opportunities for the team to implement new models and technologies

PREFERRED EXPERIENCE: 

  • Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or related field
  • 8-10 plus of year’s working experience
  • Good working experience in developing and deploying machine learning
  • Experience with Python, scikit-learn, TensorFlow, or similar machine learning frameworks
  • Experience with cloud computing platforms (AWS, Azure, GCP)
  • Experience with software deployment processes including CI/CD pipelines, Agile methodology, and DevOps/MLOps/DataOps
  • Knowledge of both machine learning and statistical analysis principles and algorithms
  • Excellent problem-solving and analytical skills
  • Excellent communication and teamwork skills
  • Excellent organizational and time management skills

ACADEMIC CREDENTIALS: 

  • Bachelors or Master’s in computer engineering or computer science or electrical engineering, or comparable disciplines
     

LOCATION:

Singapore

 

#LI-MM1

#LI-HYBRID

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