Data Scientist
Listed on 2026-05-31
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IT/Tech
Cloud Computing, Data Engineer, AI Engineer
About the Role
We are seeking a highly skilled AI/ML Engineer to join our team and support our client in the Annapolis Junction, MD area. This role focuses on developing and deploying AI/ML solutions while ensuring secure, scalable, and efficient operations through automation, containerization, and cloud‑native strategies. The ideal candidate is a fast learner with a passion for innovation and adaptability.
What You’ll Be Doing- Develop and deploy AI/ML models, including deep learning, LLM fine‑tuning, and retrieval-augmented generation (RAG)
- Build and manage containerized applications using Docker and Kubernetes (K8s)
- Automate CI/CD pipelines for secure and efficient delivery
- Leverage AWS services like Bedrock, Sage Maker, and general cloud architecture for scalable deployments
- Build secure Linux-based systems and applications, including web apps (Flask/Django) and databases (e.g., graph databases)
- Experience in Python and Linux environments
- Experience with Docker, Kubernetes, and/or CI/CD pipelines
- Experience with and knowledge of AI/ML principles, including model development and evaluation
- Familiarity with web app development and database management
- Experience with NVIDIA NIMs, NeMo, and agentic AI frameworks (Auto Gen, CrewAI, Lang Graph)
- Knowledge of AWS cloud services
- Knowledge of advanced Dev Sec Ops tools for security and vulnerability assessments
- Exposure to API integrations and prompt engineering
- Must have an active TS/SCI with polygraph level clearance
Compensation ranges for this position in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, District of Columbia, and the City of Cleveland: $140,400—$265,300 USD.
Equal Employment OpportunityWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an affirmative action employer for veterans and individuals with disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Accommodation RequestsAccenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future employment.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
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.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed…
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