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Junior Aws Machine Learning Jobs in Virginia (NOW HIRING)

Koitecc Solutions

Machine Learning Engineer

Chantilly, VA · On-site

$120 - $180/hr

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... AWS Cloud experience * Experience with Graph Analysis * Security Plus Clearance Requirements:

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Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Exposure to cloud platforms such as AWS, Azure, or GCP for model deployment, storage, or related ...

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Junior Aws Machine Learning information

What is a junior AWS machine learning engineer?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

What are the key skills and qualifications needed to thrive as a junior AWS machine learning engineer?

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

Are there entry level AWS jobs?

Yes, there are entry-level AWS jobs such as Junior AWS Machine Learning roles that typically require foundational knowledge of cloud computing, basic understanding of machine learning concepts, and familiarity with AWS services like S3, EC2, and SageMaker. These roles often serve as starting points for careers in cloud and machine learning fields and may require certifications like AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty. Candidates should be prepared to learn on the job and develop skills through training and hands-on experience.

What are some common challenges faced by junior AWS machine learning engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

What is the difference between Junior Aws Machine Learning vs Data Scientist?

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

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Junior Aws Machine Learning jobs near you

Machine Learning Engineer

Elder Research

Chantilly, VA • On-site

Full-time

Posted 15 days ago

Job description

Machine Learning Engineer
General Information
Requisition #728
Locations USA-VA-Chantilly
Posting Date 07/24/2026
Security Clearance Required - TS/SCI + CI Poly
Remote Type N/A
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team in Chantilly, VA.
Responsibilities include but are not limited to:
  • Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities.
  • Support program with R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract.
  • Create software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.
  • Utilize a combination of open-source models, agentic tools, and large proprietary commercial models.
  • Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
  • Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.

Minimum Qualifications:
  • Active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
  • Minimum 3 years of experience with a Bachelor's degree
  • Proficiency in Python and SQL
  • Familiarity with Javascript, Containerization (Docker/ Rocky Linux)
  • Familiarity with developing & managing API endpoints (Rest and FastAPI)
  • Familiarity with developing agenticAI workflows/systems
    • Langchain, LangGraph, OpenAI Agents, Pydontic
    • UVicorn (webserver)
  • Streamlit (web apps)

Preferred Qualifications:
  • Familiarity with Multi-agent orchestration
  • Familiarity with Cybersecurity (Mandiant)
  • AWS Cloud experience
  • Experience with Graph Analysis
  • Security Plus

Clearance Requirements:
  • Must have an active TS/SCI + Poly

Physical Requirements:
  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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