What are the responsibilities and job description for the Senior Data Engineering Leader position at Applied Materials?
AI/ML Data Infrastructure Specialist Job Title
We are seeking an AI/ML Data Infrastructure Specialist to join our AI/ML team at Applied Materials. As an AI/ML Data Infrastructure Specialist, you will be responsible for designing, developing, and deploying data infrastructure solutions that enable our AI/ML team to build and train machine learning models. Your key responsibilities will include:
- Designing and implementing data infrastructure architectures and data pipelines
- Developing scalable and efficient data processing systems
- Collaborating with cross-functional teams to ensure seamless integration of data infrastructure solutions
You will work closely with our data engineers, scientists, and analysts to develop data-driven solutions that drive business value. To be successful in this role, you must have experience working with big data technologies such as Hadoop, Spark, Kafka, and experience with cloud services like EC2, EMR, RDS, Redshift, Azure services. Strong analytical skills, attention to detail, and excellent communication skills are also essential.
Why Join Us?
As an AI/ML Data Infrastructure Specialist at Applied Materials, you will have the opportunity to work on cutting-edge projects, collaborating with talented professionals in a fast-paced and innovative environment. You will also have access to ongoing training and development opportunities, enabling you to grow professionally and achieve your career goals.
We are seeking an AI/ML Data Infrastructure Specialist to join our AI/ML team at Applied Materials. As an AI/ML Data Infrastructure Specialist, you will be responsible for designing, developing, and deploying data infrastructure solutions that enable our AI/ML team to build and train machine learning models. Your key responsibilities will include:
- Designing and implementing data infrastructure architectures and data pipelines
- Developing scalable and efficient data processing systems
- Collaborating with cross-functional teams to ensure seamless integration of data infrastructure solutions
You will work closely with our data engineers, scientists, and analysts to develop data-driven solutions that drive business value. To be successful in this role, you must have experience working with big data technologies such as Hadoop, Spark, Kafka, and experience with cloud services like EC2, EMR, RDS, Redshift, Azure services. Strong analytical skills, attention to detail, and excellent communication skills are also essential.
Why Join Us?
As an AI/ML Data Infrastructure Specialist at Applied Materials, you will have the opportunity to work on cutting-edge projects, collaborating with talented professionals in a fast-paced and innovative environment. You will also have access to ongoing training and development opportunities, enabling you to grow professionally and achieve your career goals.
