Data Scientist - GenAI - Solution Specialist

ncluding refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review. The kinds of activities performed by the Prompt Engineer will also include, but not be limited to:

• Working across client teams to develop and architect Generative AI solutions using ML and GenAI

• Developing and promoting standards across the community

• Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies

• Working with leadership and stakeholders to identify AI opportunities and promote strategy

• Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes

• Building and prioritizing backlog for future machine-learning enabled features to support client business processes

The TeamArtificial Intelligence & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Artificial Intelligence & Data Engineering will work with our clients to:

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required:

• 3+ years of experience programming in Python or R

• 2+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 2+ years of experience building and maintaining scalable API solutions

• 2+ years of experience designing solutions to address client requirements

• 3+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions

• 3+ years of experience in developing algorithms using data science technologies to build analytical models

• 3+ years of data extraction/manipulation experience using scripts specific to AI/ML

• 3+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.

• 3+ years of experience in data wrangling/cleansing, statistical modeling, and programming

• 3+ years of extensive experience working in an Agile development environment

• 3+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL)

• 3+ years of production experience with Apache Spark

• 3+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment

• 2+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access

• 1+ years of experience to have familiarity with Linux OS and Windows servers

• 1+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

• Must live near, or relocate to Gilbert, AZ, Lake Mary, FL or Mechanicsburg, PA

• Must be in your designated office location 10%-30% of each work week

• Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve

• Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Preferred:

• Previous Government Consulting and/or professional services experience
• In depth understanding of AI protocols and standards
• Understanding of technology risks and the ability to assess and mitigate them
• Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context
• Experience with debugging and troubleshooting software or solutions design issues
• Proven ability to stay current with best practices and new technology solutions in the field
• Ability to display both breadth and depth of knowledge regarding functional and technical issues
• Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)
• Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.
• Familiarity with Kubeflow or MLflow
• Experience with machine learning pipelines (Azure ML)
• Familiarity with the latest Natural Language Processing or Computer Vision related algorithms