Principal Mining Consultant providing technical consulting services on open - pit projects. Leading mining studies and managing multi - disciplinary project teams in a hybrid role.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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