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Junior Aws Machine Learning Jobs in Delaware (NOW HIRING)

AWS Lead Software Engineer-Java

Wilmington, DE · On-site

$140 - $170/hr

  • Medical

  • Retirement

As an AWS Lead Software Engineer-Java at JPMorgan Chase within the Consumer and Community Banking ... artificial intelligence, machine learning, mobile, etc.) * Ability to tackle design and ...

$140 - $190/hr

As a Lead Software Engineer - Python/React/AWS/AI at JPMorganChase within the Consumer and ... intelligence, machine learning, mobile, etc.) * In-depth knowledge of the financial services ...

CCB Risk Program Associate

Wilmington, DE · On-site

$135K - $165K/yr

  • Medical

  • Retirement

Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... AWS, and Hive, and familiarity with MLOps tooling that supports model monitoring, drift detection ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

  • Medical

  • Retirement

Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... AWS, and Hive, and familiarity with MLOps tooling that supports model monitoring, drift detection ...

CCB Risk Program Associate

Wilmington, DE

$57K - $57K/yr

  • Medical

  • Retirement

Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... AWS, and Hive, and familiarity with MLOps tooling that supports model monitoring, drift detection ...

Proven experience in building and maintaining AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud platforms (AWS ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Proven experience in building and maintaining AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud platforms (AWS ...

Sr. Software Engineer

Wilmington, DE · On-site

$118K - $156K/yr

We are seeking a highly skilled Software Engineer with expertise in Java, Python, and AWS to design ... machine learning or data engineering frameworks is a plus. Company : Ampcus is a global business ...

Proven experience in building and maintaining AI or machine learning platforms. * Strong knowledge of programming languages such as Python, R, and/or Java. * Experience with cloud platforms (AWS ...

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Experience with GCP/AWS cloud platforms. * Strong knowledge of and measurable hands-on experience ...

Showing results 41-60

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 Delaware?

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

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

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

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

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

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

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

AWS Lead Software Engineer-Java

Fairygodboss

Wilmington, DE • On-site

$140 - $170/hr

Other

Medical, Retirement

Posted 10 days ago


Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As an AWS Lead Software Engineer-Java at JPMorgan Chase within the Consumer and Community Banking's Proprietary Wallets team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, skills, and capabilities
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience leading teams of technologists and guide and coach teams on approach to achieve goals against a set of strategic initiatives
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Proficiency in Java/J2EE and REST APIs, Web Services and experience in building event-driven Micro Services and Kafka streaming.
  • Experience in Spring Framework, Spring Boot and AWS Services in public cloud infrastructure
  • Working proficiency in developmental toolsets like GIT/Bitbucket, JIRA, Maven
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, skills, and capabilities
  • Finance domain experience with United States Banking & Payments industry.
  • Knowledge and working experience on Card Network Payment and Fraud.
  • Leading experience of Java Micro services application on AWS/Public cloud platform.
  • Certifications in Java programming or related technologies (e.g., Oracle Certified Professional, Spring Certification).
  • Certifications in AWS (e.g., AWS Certified Solutions Architect - Associate).

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

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