Data Consultants

Responsibilities

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 Data and Analytics, Artificial Intelligence (AI) and GenerativeAI (GenAI), Machine Learning (ML), HPC and more.
Our team members work with enterprise customers locally, regionally and domestically.
As such, this role has up to 75% travel associated.
While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.
Key job responsibilities In this role, you will work with our partners, customers and focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker, Amazon Bedrock, Amazon Q, and Amazon Lex.
You will help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights.
You will also 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.
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.

Skills

Performance tuning
Master's degree in physics
Go
Node.js
Computer Science
Data lake
Cloud data warehouses
PyTorch
Bachelor's degree in Physics
AWS Certified Machine Learning
Specialty Engineering
Data structures
Spark
Amazon SageMaker
Mathematics
AWS Certified Solutions Architect
Associate MXNet
.NET
Java
Master's degree
AWS Certified Data Analytics
Specialty SQL
White papers
Doctoral degree in Computer Science
Technical solutions implementation
Spark implementation
Online blogs
Bachelor's degree in engineering
Bachelor's degree
Doctor of Philosophy
AWS Glue
PostgreSQL
Distributed systems
Content development
Prototype creation
Physics
Data analytics
Ruby
Software development
Product demos
Developing data pipelines
Scalability
System architecture design
Master's degree in computer science
Kafka
1 year
Keras
Redshift
DynamoDB
Distributed computing
Bachelor's degree in mathematics
Swift
Senior level AI
Master's degree in engineering
Cross-functional collaboration
RDS database
Bachelor's degree in computer science
Machine learning frameworks
Prototypes
Communication skills
Generative AI
Hadoop
Caffe

Benefits

💰 $160,000 a year 1 hour ago
💼 AD&D insurance
🏥 Health insurance
😁 Dental insurance
💳 Flexible spending account
📈 RSU
🌴 Paid time off
🤝 Adoption assistance
👶 Parental leave
🆘 Employee assistance program
👓 Vision insurance
💰 401(k) matching