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World Wide Technology · 2 weeks ago

AI/ML Solutions Development SME

Chantilly, VA

Full-time

Onsite

Senior Level

$175K/yr - $210K/yr

6+ years exp

World Wide Technology is a global technology solutions provider leading the AI and Digital Revolution. They are seeking an AI/ML Solutions Development SME to design, implement, and advocate for advanced cloud solutions for their Cloud customers, focusing on Artificial Intelligence and Machine Learning.

HardwareNetwork HardwareSoftware

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Work directly with WWT program personnel, Google Public Sector teams, and WWT customers to provide consulting, scoping, planning, quoting, and technical expertise that aligns with complex customer requirements

Be a trusted technical advisor to customers and solve complex machine learning issues

Work with Google and WWT teams to design and implement customized artificial intelligence agents and machine learning solutions to support customer use cases, leveraging core Google products including Gemini and Vertex AI

Work with customers to identify opportunities to apply AI/ML in their business

Help prospective and existing customers understand the differentiating factors of the Google Cloud platform’s power

Work directly with Google Cloud products to demonstrate and prototype integrations in customer environments

Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud

Engage in proofs-of-concept (POCs), troubleshoot technical questions and roadblocks, and develop solutions to resolve technical blockers

Coach customers on the practical issues in machine learning systems such as feature extraction and feature definition, data validation, monitoring, and management of features and models

Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, and product and solution briefings

Overall Program Support: Assist where needed to keep the overall program successful

Qualification

Machine Learning solutionsAI/ML expertiseCloud solutions architectureProgramming in PythonDeep learning frameworksData pipelinesGenerative AICloud enterprise solutionsTechnical presentationsConsulting experienceCommunication skills

Required

Active Top Secret SCI clearance with CI Poly

Education: Bachelor's degree in computer science or equivalent practical experience

Experience: Minimum of 6 years of experience building machine learning solutions and working with technical customers

Experience coding in one or more general-purpose languages (e.g., Python, Java, Go, C or C++), including data structures, algorithms, and software design

Experience with Machine Learning model development and deployment

Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, etc.) and using machine learning APIs

Experience working with recommendation engines, data pipelines, or distributed machine learning

Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.)

Experience in building and deploying data and Machine Learning (ML) pipelines with a focus on automation

Experience with prompt tuning and delivering successful prototypes

Experience engaging with and presenting to technical stakeholders and executive leaders

Experience in delivering technical presentations and leading discovery and planning sessions with customers with defined scope and success criteria

Experience designing cloud enterprise solutions and supporting customer projects to completion

Travel: Approximately 20% for meetings, technical reviews, and onsite delivery activities, or travel to customer sites, conferences, and other related events as required

Preferred

Advanced Education: Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience

Experience with Gemini and Vertex AI

Experience in architecting and developing software or infrastructure for scalable, distributed systems

Knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume)

Experience in understanding customers' existing software workloads, with the ability to define a technical migration roadmap to the cloud reflecting specific customer needs

Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space