Hybrid AWS ML Cloud Consultant

at Vertical Relevance

• Job title: AWS ML Cloud Consultant
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Cloud, IoT
• Location requirements: Hybrid, United States

About the role

• AWS Machine Learning Consultant responsible for end-to-end planning and deploying software systems. Collaborating with clients to implement technical solutions using AWS machine learning services.

Responsibilities

• Enable customers to solve complex data science problems – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
• Consult, plan, design, and implement ML/AI solutions using AWS ML Services
• Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization
• Use AWS AI services, ML platforms, and frameworks to help our customers build ML models
• Work with our other consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our engineers to operationalize customers’ models after they are prototyped
• Become a deep technical resource that earns our customer's trust
• Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud
• Innovate on behalf of customers and translate your thoughts into action yielding measurable results.
• Support solution development by conveying customer needs and feedback as input to technology roadmaps.
• Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
• Assist with technical briefs that document solutions
• Assist with reference architecture implementations
• Support internal and external brand development through thought leadership: Work with Marketing/Alliances to write blog posts
• Work with Marketing/Alliances to develop internal case studies

Requirements

• Hands-on experience building and implementing machine learning or AI models in AWS
• Experience in software/technology customer facing experience
• PhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering
• You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options