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Junior Aws Machine Learning Jobs in Wisconsin (NOW HIRING)

Deloitte

Forward Deployed Engineer- AWS

Milwaukee, WI · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

AI Engineer

Milwaukee, WI · On-site

$55K - $187K/yr

... junior team members in AI implementation and data engineering practices What You Must Have - At ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Deloitte

Senior Forward Deployed Engineer- AWS

Milwaukee, WI

$103K - $141K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

CTIO AI Engineering Manager

Milwaukee, WI · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Additional duties include leading advanced analytics projects with machine learning and AI for ... Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services ...

Deloitte

Lead AI and Data Science Engineer II

Milwaukee, WI

$101K - $133K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

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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 Wisconsin? The most popular types of Aws Machine Learning jobs in Wisconsin are:
What are popular job titles related to Junior Aws Machine Learning jobs in Wisconsin? For Junior Aws Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
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What cities in Wisconsin are hiring for Junior Aws Machine Learning jobs? Cities in Wisconsin with the most Junior Aws Machine Learning job openings:
Junior Aws Machine Learning jobs near you

AI & Machine Learning Developer

Johnson Health Tech Companies

Cottage Grove, WI • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 28 days ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

151st of 487 rated machine equipment manufacturers

Job description

Job Type
Full-time
Description
Position Overview:
Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.
Responsibilities:
• Research, design, and implement AI/ML solutions for mobile fitness applications.
• Develop and fine-tune LLMs for natural language interactions and personalization.
• Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).
• Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.
• Collaborate with Android developers to integrate AI features into client-side applications.
• Create prototypes and proof-of-concepts for new AI-driven features.
• Stay current with emerging AI/ML technologies and best practices.
• Ensure compliance with data privacy and security standards.
Requirements
Education:
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience:
• 3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.
• Hands-on experience with AWS services for AI/ML deployment.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with RESTful APIs and microservices architecture.
Benefits:
We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:
• Health & Dental Insurance
• Company paid Life Insurance
• 401(k)
• Paid Time Off benefits
• Product discounts
• Wellness programs
Equal Opportunity Employer, including Veterans and Individuals with Disabilities

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