ZipRecruiter

Log In

1

Junior Aws Machine Learning Jobs in Florida (NOW HIRING)

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

Hands‑on experience with AWS and Databricks, including building CI/CD pipelines for deploying machine learning models and AI agents. * Strong proficiency in Python and experience with modern ...

247Hire

Machine Learning Engineer

Orlando, FL · On-site

Seeking a Machine Learning Engineer for the following role - Generative AI & ML Frameworks: PyTorch ... GCP Vertex AI, Azure OpenAI, AWS Bedrock, multi‑cloud orchestration Serving: TensorRT, ONNX ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ...

next page

Showing results 1-20

All JobsAws Machine Learning JobsJunior Aws Machine Learning JobsJunior Aws Machine Learning Jobs in Florida

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.

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 Florida?

The most popular types of Aws Machine Learning jobs in Florida are:

What are popular job titles related to Junior Aws Machine Learning jobs in Florida?

For Junior Aws Machine Learning jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Junior Aws Machine Learning jobs in Florida look for?

The top searched job categories for Junior Aws Machine Learning jobs in Florida are:

What cities in Florida are hiring for Junior Aws Machine Learning jobs?

Cities in Florida with the most Junior Aws Machine Learning job openings:

Junior Aws Machine Learning jobs near you

Principal / Sr. Principal Data Scientist - Machine Learning and Predictive Analytics

Melbourne, FL • On-site

Northrop Grumman Corp. (AU)
Space Research Administration • 10K+ employees
Learn more about Northrop Grumman Corp. (AU)external

Other

Re-posted yesterday

Northrop Grumman rating

8.3

Company rating: 8.3 out of 10

Based on 372 frontline employees who took The Breakroom Quiz

Job description

As a Principal/Sr. Principal Data Scientist, you will lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation. You will work closely with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes. You will also be responsible for mentoring and leading junior data scientists and engineers to develop their skills and expertise.

Key Responsibilities:

  • Lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation.
  • Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes.
  • Mentor and lead junior data scientists and engineers to develop their skills and expertise.
  • Develop and maintain complex data pipelines and models to support business needs.
  • Stay up-to-date with emerging trends and technologies in machine learning and predictive analytics.

Requirements:

  • Ph.D. in Computer Science, Statistics, Mathematics, or related field.
  • 10+ years of experience in machine learning and predictive analytics.
  • Proven track record of developing and implementing successful machine learning and predictive analytics solutions.
  • Strong leadership and mentoring skills.
  • Experience with AWS and cloud-based technologies.
#J-18808-Ljbffr

What Northrop Grumman employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Northrop Grumman logo

About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939

View All Northrop Grumman Jobs

Apply