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Junior Aws Machine Learning Jobs in Ohio (NOW HIRING)

Flexjet

AI Engineer

Cleveland, OH · On-site

DUTIES & RESPONSIBILITIES Design and develop machine learning and deep learning models for real ... cloud platforms (AWS, Azure, or Google Cloud) Knowledge of RESTful APIs and microservices ...

Flexjet

AI Engineer

Cleveland, OH · On-site

DUTIES & RESPONSIBILITIES Design and develop machine learning and deep learning models for real ... cloud platforms (AWS, Azure, or Google Cloud) Knowledge of RESTful APIs and microservices ...

Flexjet LLC

AI Engineer

Cleveland, OH · On-site

$120 - $160/hr

Design and develop machine learning and deep learning models for real-world applications * Build ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud) * Knowledge of RESTful APIs and ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... platforms (AWS, Azure, or Google Cloud) PREFERRED QUALIFICATIONS Experience supporting machine learning or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... platforms (AWS, Azure, or Google Cloud) PREFERRED QUALIFICATIONS Experience supporting machine learning or AI projects Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop ...

Flexjet

AI Engineer

Cleveland, OH · On-site

DUTIES & RESPONSIBILITIES · Design and develop machine learning and deep learning models for real ... cloud platforms (AWS, Azure, or Google Cloud) · Knowledge of RESTful APIs and microservices ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... AWS, Azure, or Google Cloud) PREFERRED QUALIFICATIONS · Experience supporting machine learning or AI projects · Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop) · ...

Judge Group, Inc.

AWS/FS Java Developer

Columbus, OH · On-site

$80 - $115/hr

Our client is currently seeking a AWS/FS Java Developer This is a senior level W2 position. No C2C ... Experience with cloud technologies, artificial intelligence, machine learning, mobile technologies ...

Diverse Lynx

ML Ops Engineer

Cincinnati, OH · On-site

... AWS Certified Machine Learning certification Company : Diverselynx IT Consulting Services Founded in 2002, the company is headquartered in Princeton, USA, with a team of 1001-5000 employees. The ...

Flexjet

AI Engineer

Cleveland, OH · On-site

Responsibilities : • Design and develop machine learning and deep learning models for real-world ... platforms (AWS, Azure, or Google Cloud) • Knowledge of RESTful APIs and microservices ...

NEURA Robotics

$70 - $90/hr

... machine learning. Your primary responsibility is to design and maintain scalable workflows for ... Experience with cloud platforms (AWS, GCP, Azure) is a plus #J-18808-Ljbffr

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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.

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 Ohio?

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

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

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

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

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

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

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

Junior Aws Machine Learning jobs near you

AI Driven Automation Solutions Architect (Pharma)

Lewis Center, OH • On-site

ATS Automation Tooling Systems Inc
See more jobs at ATS Automation Tooling Systems Incexternal

$110 - $160/hr

Other

Re-posted 10 days ago

Job description

AI Driven Automation Solutions Architect (Pharma) Your responsibilities

We are seeking an Engineer to provide on-site engineering and application support for pharmaceutical manufacturing operations in New Albany, Ohio. This role supports Line Clearance and other DISO applications, while also contributing to the operation and support of production-grade AWS-based machine learning platforms used in regulated manufacturing environments. This is a newly created role intended to strengthen on-site support, improve response times, and ensure reliable, compliant operation of critical manufacturing and digital systems.

  • Provide on-site engineering and application support for Line Clearance systems and other DISO applications
  • Support day-to-day operations, troubleshooting, and incident resolution for production and quality-critical systems
  • Collaborate with manufacturing, quality, IT, and digital teams to ensure system availability, performance, and compliance with GMP requirements
  • Support AWS-based ML platforms used in manufacturing and quality use cases, including monitoring, operational support, and controlled deployments
  • Assist with system configuration, testing, validation, and documentation activities in accordance with site and regulatory standards
  • Participate in change management activities, including impact assessments, implementation support, and post-change verification
  • Support investigations and root cause analysis related to application or data issues
  • Coordinate with global engineering, IT, and data platform teams as needed
  • Maintain clear documentation and communication aligned with site procedures and operational best practices
Your profile
  • Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related technical discipline
  • Experience supporting manufacturing or quality systems in regulated environments (pharmaceutical, biotech, or life sciences)
  • Experience with Line Clearance processes and Machine Learning applications
  • Strong troubleshooting, analytical, and problem-solving skills
  • Ability to work effectively in an on-site, cross-functional environment
  • Strong written and verbal communication skills
  • Experience supporting production-grade AWS-based machine learning platforms, including:
    • AWS SageMaker Pipelines for ML workflow orchestration
    • Model versioning and governance using Amazon SageMaker Model Registry or equivalent tools
    • Deployment and operation of ML solutions across multi-account AWS environments (development, validation, and production)
    • Understanding of MLOps best practices, including model lifecycle management, CI/CD for ML, monitoring, and controlled promotion across environments
    • Familiarity with AWS Well-Architected Framework principles, particularly security, reliability, and operational excellence, as applied to ML platforms
Preferred Qualifications
  • Experience working in GMP-regulated manufacturing environments
  • Exposure to system validation, change control, and regulated documentation practices
  • Experience supporting cloud-based data or analytics platforms in life sciences
  • Knowledge of pharmaceutical manufacturing workflows and quality systems
  • Prior experience supporting Amgen systems or similar enterprise manufacturing environments

Location: Lewis Center, OH 43035-9445; Greenville, SC 29615

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