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Sr. Associate, AI Engineer

Company: KPMG
Location: Denver
Posted on: June 14, 2019

Job Description:

Innovate. Collaborate. Shine. Lighthouse KPMG's Center of Excellence for Advanced Analytics has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects covering technologies and solutions from AI to optimization and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.

KPMG is currently seeking a Sr. Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.

Responsibilities:


  • Work in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and solution architecture; Rapidly iterate models and results to refine and validate approach working across deployment options (KPMG-hosted, client, laptop, cloud, and container)
  • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, and documenting assumptions; Communicate results and educate others through insightful visualizations, reports, and presentations
  • Build ingestion processes to prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)
  • Design, develop, and maintain artificial intelligence-enabled managed services (APIs) with a team of Data Scientist, Software Engineers, and Project Managers; Architect, implement, and test data processing pipelines (e.g. Hadoop and Spark) and data mining/data science algorithms on a variety of hosted settings (Cloud (AWS, Azure, GCP) and KPMG's own clusters)
  • Develop automated reporting for API and system health (process, memory, response time) utilizing leading processes for software development and analytics
  • Translate advanced technical architectures into production systems and contribute to the continual maintenance and testing of processes, APIs and associated user interfaces; Build continuous integration and automated deployment environments; Develop containers (Docker) to ensure that APIs and processing pipeline can be easily deployed across a variety of hardware and software architectures

    Qualifications:

    • Minimum two years of experience leading workstreams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics, and software development processes using big data methods on multiple programming languages and technologies; Multidisciplinary backgrounds preferred
    • Minimum of five years of direct experience or close working relationship with DevOps engineering; Solid understanding of object oriented design and design patterns; familiarity with agile software development practices, testing strategies and solid unit testing skills
    • Bachelor's degree from an accredited college/university; Master's or PhD from an accredited college/university in Computer Science, Computer Engineering, or related field
    • Understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk); Experience with large-scale, big data methods (MapReduce, Hadoop, Spark, Hive, Impala, or Storm)
    • Fluency in several programming languages (Python, Scala, or Java) with the ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Experience with cloud computing and virtualization, persistence technologies both relational and No-SQL and multi-layered distributed applications
    • Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

      KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

Keywords: KPMG, Denver , Sr. Associate, AI Engineer, Engineering , Denver, Colorado

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