Accenture Federal Services is seeking an AI /ML Engineer to solve challenging data problems with state-of-the-art AI/ML models for their federal clients.
Requirements
- Experience designing, implementing, and deploying a prototype generative NLP large language model (LLM)
- Minimum of 3 years expertise with advanced statistical modeling, AI, machine learning, optimization modeling, data mining, unstructured data analytics in corporate and/or academic research environments
- Minimum of 3 years experience developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and others
- 2 years of prior experience in model validation or model audit
- Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions
- Familiarity with emerging technologies and recommended use cases and requirements.
- Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients
Responsibilities
- Solving challenging data problems with state-of-the-art AI/ML models for our federal clients.
- Working closely with data owners, data scientists, and software engineers to build MLOps pipelines to allow for easy integration of data and AI services into the final product.
- Having great influence on the foundational data and model architecture for the final product.
- Playing a large part in deciding which data will be used for the AI/ML capabilities.
Other
- Experience of demonstrated results in Data Science with federal clients
- Active secret clearance and must be able to obtain TS/SCI clearance is required
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
