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Data/AI Architect

4 months ago

Hanover, United States JobRialto Full time
Top Skills' Details

Expertise in data science and data wrangling best practices, tools, and techniques.

Expertise in Artificial Intelligence/Machine Learning using Deep Learning Frameworks, Analysts Notebooks, and Spark/Python/R Libraries

Experience with large data sets including data integration, data migration, analysis and visualization.

Experience with cloud-native data analytic solution architectures.

Job Description

The Architect is a dynamic, strategic and creative role. We are seeking a talented, proactive, collaborative, analytical innovator who enjoys building and optimizing elegant solutions to some of AI's most interesting and complex problems. In this role, you may be asked to contribute your skills and ideas to existing programs or in support of business expansion efforts. The successful candidate will possess exceptional customer engagement (written and verbal) skills; will be highly empathetic and responsive; and thrive in a fast-paced working environment. Collaboration with multi-location and cross-functional teams will be key to maintain and improve customer satisfaction, revenue and margin. If this is you, we look forward to welcoming you to our team of curious, fun, and smart global misfits.

In this role, a typical day will include:

Use analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges.

Use Artificial Intelligence & Machine Learning expertise to recommend solutions to business challenges and client needs.

Develop effective and compelling briefings, proposal materials, reusable artifacts, and related materials for use by our customers, both internal and external.

Lead development of proposal technical volumes and orals presentations

Plan and help execute prototyping and technical implementation efforts. Candidates will be required to juggle multiple assignments and manage client and business engagements.

Collaborate closely with stakeholders to support requirements analysis and a strategic understanding of our customers' challenges.

Drive cross-functional consensus and collaboration internally, including leading critical research efforts internally and externally

You are responsible for collecting the scope requirements and developing both the solution and its associated pricing.

Develop presentations, pitches and other key elements of successful proposals in support of our team's business expansion efforts

Participate in internal and external meetings as required.

Minimum Education and/or Experience:

Education: Master's Degree or PhD in a related discipline.

Required Experience: 8+ years of related experience.

Required Technical Skills: Data Science, Artificial Intelligence, and Solutions Architecture

Skills and Abilities:

Expertise in data science and data wrangling best practices, tools, and techniques.

Expertise in Artificial Intelligence/Machine Learning using Deep Learning Frameworks, Analysts Notebooks, and Spark/Python/R Libraries

Experience with large data sets including data integration, data migration, analysis and visualization.

Experience with cloud-native data analytic solution architectures.

Education: Bachelors Degree

Additional client information: