Lead Specialist, Federal Artificial Intelligence (AI) Engineering

KPMG LLP; McLean (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

KPMG LLP in McLean, VA is seeking a Lead Specialist to join our Federal Advisory practice, driving data and AI engagements from objectives to delivery. You will lead multi-disciplinary workshops and coordinate with clients to define problems and design high-level analytical solutions.

You will oversee data discovery, ETL/ELT processes, and the creation of analytics and ML models across all development stages, manage complex workstreams and budgets, report key metrics, and travel as required to

Qualifications

• Experience leading AI/data science engagements for complex programs.
• Strong knowledge of data discovery, ETL/ELT, and data governance.
• Experience with NLP, machine learning, and information retrieval.
• Proficiency in distributed computing and big data platforms.
• Experience with cloud infrastructure and scalable analytics.

Responsibilities

• Plan, lead, and execute delivery of data/AI engagements.
• Lead workshops and cross-functional teams to identify business opportunities and design solutions.
• Discover data sources and manage data requests; lead data ingestion.
• Oversee analytics and ML models from design to deployment.
• Manage complex workstreams, budgets, and client expectations.
• Define, monitor, and report key business metrics and dashboards.
• Travel as required to support firm engagements.

Skills

Artificial Intelligence

Data Science

NLP

Machine Learning

Cloud Computing

Education

Bachelor's degree in a technical field

Tools

Hadoop

Spark

PySpark

Hive/Impala

Redshift

AWS

Azure

GCP

REST APIs

HTML5/JS

Job description

KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice.

Responsibilities:

• Plan, lead, and execute delivery of data / AI engagements (including definition of objectives, key deliverables, mitigating risk in data, modeling, validation, delivery)


• Lead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities, define problem statements, and design high level analytical solutions


• Work with clients to discover data sources and create date requests; lead data discovery, ETL/ELT processes to ingest structured data / annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal / external documents, images, video, voice, emails, financial data, and operational data)


• Oversee the creation of analytics and machine learning models through all phases of development, from design through training, evaluation, validation, implementation, to delivery


• Lead in a fast-paced / dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, and deliverables


• Define, monitor, and report key business metrics to management; design, implement, and manage various reporting processes / dashboards


• Ability to travel as required to support firm engagements

Qualifications:

• A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience; U.S. Federal government consulting experience preferred


• Bachelor's degree from an accredited college/university


• Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval


• Deep technical understanding of data preparation approaches and machine learning algorithms


• Knowledge / experience preforming data science from data discovery, cleaning, model selection, validation, to deployment


• Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)


• Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A related microservices)


• Experience with Web/RESTful service development, HTML5, JavaScript / Angular / React / Redux


• Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code


• Ability to travel as required to support firm engagements


• Applicant must possess or be eligible for U.S. Government clearance