AI / ML Engineer
About The Position
Accenture Federal Services is seeking an AI /ML Engineer. As a machine learning engineer, you will be focused on solving challenging data problems with state-of-the-art AI/ML models for our federal clients. You will also be 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. You will have great influence on the foundational data and model architecture for the final product and you will play a large part in deciding which data will be used for the AI/ML capabilities.
Requirements
- Bachelor’s degree in engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, Quantitative Analysis or related fields
- Experience of demonstrated results in Data Science with federal clients
- Experience designing, implementing, and deploying a prototype generative NLP large language model (LLM)
- An active Secret federal security clearance is required and must be able to obtain TS/SCI
Nice To Haves
- Master’s degree in Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, Quantitative Analysis or related fields
- Minimum of 3 years of 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 of experience developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and others
- Experience with MLOps frameworks (BentoML, MLFlow)
- Strong Data Science background, tools, and skillsets
- DevOps (Docker) and Cloud experience (AWS, Azure)
- 2 years of prior experience in model validation or model audit
- 2 years of prior experience in the Department of Defense in a quantitative or analytical supervision role
- 3 years of experience working in a consulting capacity
- Experience managing and leading teams
- Business development experience
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
