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Junior Aws Machine Learning Jobs in Washington (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$110 - $170/hr

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 ...

UNISSANT

Machine Learning Engineer

Ashburn, VA

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 ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115K - $152K/yr

S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS ... Abilty to mentor and coach junior resources with delivery tasks. * Self-motivated, with the ability ...

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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.

What are the most commonly searched types of Aws Machine Learning jobs in Washington? The most popular types of Aws Machine Learning jobs in Washington are:
What are popular job titles related to Junior Aws Machine Learning jobs in Washington? For Junior Aws Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Junior Aws Machine Learning jobs in Washington look for? The top searched job categories for Junior Aws Machine Learning jobs in Washington are:
What cities in Washington are hiring for Junior Aws Machine Learning jobs? Cities in Washington with the most Junior Aws Machine Learning job openings:
Junior Aws Machine Learning jobs near you
Infographic showing various Junior Aws Machine Learning job openings in Washington as of June 2026, with employment types broken down into 30% Full Time, 69% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Staff Computer Vision and Machine Learning Engineer

GEICO

Bethesda, MD • On-site

Full-time

Re-posted 3 days ago

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 361 frontline employees who took The Breakroom Quiz

163rd of 304 rated insurance

Job description

Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Role Overview
As a Staff Computer Vision and Machine Learning Engineer, you will serve as a technical lead through the design, development, and deployment of advanced computer vision and machine learning models across the business. This role focuses on building scalable computer vision and machine learning models, mentoring junior engineers, and driving the full lifecycle of computer vision and machine learning model development.
You will be the technical lead for a team of Computer Vision and Machine Learning engineers and/or data scientists focused on ensuring that computer vision and machine learning models are robust, high-performing, and seamlessly integrated into production systems. This position involves both hands-on engineering work and leadership responsibilities in a dynamic environment.
Key Responsibilities
  • Design and implement computer vision and machine learning models and components that solve real-world business problems in close collaboration with Product, business units, and Data Science teams.

  • Write production-grade code for ML models as services and APIs.

  • Collaborate with cross-functional teams, including data engineering and software development, to integrate computer vision and machine learning models into production systems.

  • Build and maintain scalable data processing workflows and model deployment infrastructure.

  • Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.

  • Keep up with the latest CV and ML tooling and communities.

  • Lead the design and implementation of complex computer vision and machine learning models across various business units.

  • Architect and develop scalable infrastructure for automated model training, hyperparameter tuning, and deployment.

  • Mentor and guide junior engineers, collaborating closely with computer vision and machine learning engineers to optimize and refine models.

  • Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance.

Minimum Qualifications
  • B.S. in computer science, computer & electrical engineering or related discipline, M.S. in computer vision, machine learning, Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent work experience in CV domain (see below).

  • 6+ years of experience applying computer vision and machine learning techniques such as ensemble learning, deep learning, reinforcement learning, NLP, or related approaches.

  • Direct work experience in CV discriminative models (detection, segmentation), CV foundation models, VLM, MLLMs, generative tools (diffusers).

  • 6+ years of experience with SQL, Spark (or equivalent), and Python, computer vision, and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.

  • 4+ years of experience working with cloud platforms and environments such as AWS, Microsoft Azure, Databricks and/or Snowflake, and Kubernetes.

  • 4+ years of experience applying computer vision and machine learning techniques in a production environment for business solutions.

  • Nice to have: publication(s) in top CV conference (CVPR, ICCV, ECCV, etc)

Required Skills and Knowledge
Computer Vision and Machine Learning and Statistical Modeling
  • Strong foundation in advanced computer vision and machine learning algorithms, including supervised and unsupervised learning techniques, as well as familiarity with generative models.

  • Proficiency in statistical modeling, including probability theory and hypothesis testing, to interrogate, analyze, and interpret data effectively.

Programming, MLOps, and Cloud Platforms
  • Strong programming skills, including proficiency in Python and experience with computer vision and machine learning frameworks such as TensorFlow, Keras, and PyTorch.

  • Familiarity with software development best practices, including CI/CD pipelines, containerization such as Docker, and orchestration such as Kubernetes.

  • Deep understanding of MLOps practices, including model versioning, A/B testing, and continuous deployment.

  • Deep understanding of cloud computing platforms such as Azure, AWS, or GCP, distributed systems, and large-scale data processing technologies such as Spark and Kafka.

Leadership, Communication, and Analytical Skills
  • Proven experience leading computer vision and machine learning projects, managing stakeholders, and scaling computer vision and machine learning solutions in production environments.

  • Excellent communication skills, with the ability to present complex technical topics to both technical and non-technical audiences.

  • Exceptional problem-solving and analytical skills with a focus on practical, business-oriented outcomes.

Annual Salary
$130,000.00 - $260,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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