What are the responsibilities and job description for the Associate Data & ML Engineer, A2C ProServe position at Amazon?
DESCRIPTION
Job summary
At Amazon Web Services (AWS), we’re hiring highly technical Data and Machine Learning engineers to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, Data and Analytics, HPC and more.
In this role, you will work with our partners and customers to focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker and more. You will help remove the constraints that prevent customers from leveraging data to develop business insights.
You will have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams.
This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
- 1 years of experience of Data platform implementation
- 1 years of hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations
- Hands on experience with building data or machine learning pipeline
- Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)
- Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc)
- Current experience with hands-on implementation
PREFERRED QUALIFICATIONS
- Familiar with Machine learning concepts
- Experience working on large-scale data science/data analytics projects
- Experience with technologies such as AWS, Hadoop, Spark, Spark SQL, MLib or Storm/Samza.
- Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
- Experience with AWS technology stack.
- AWS Certification(s) such as Solutions Architect Associate and/or Data Analytics Specialty
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
