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Junior Aws Machine Learning Jobs in Delaware (NOW HIRING)

JP Morgan Chase

Java AWS Software Engineer III

Newark, DE · On-site

$51 - $70/hr

Mentor and support junior developers by offering technical guidance, conducting knowledge-sharing ... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Proven ...

New

JPMorgan Chase & Co

Java AWS Software Engineer III

Newark, DE · On-site

$51 - $70/hr

Mentor and support junior developers by offering technical guidance, conducting knowledge-sharing ... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Proven ...

New

JPMorgan Chase & Co.

$140 - $190/hr

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 ...

Xforia, Inc.

Java AWS with CI/CD

Wilmington, DE · On-site

$75/hr

Java FSD with AWS, CI/CD and Kafka Location: WIlmington, DE Rate - $75/Hr Position ID - TBC Number ... machine learning, mobile, etc.) • Practical cloud native experience Preferred qualifications ...

Sallie Mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

... machine learning algorithms(supervised, unsupervised, deep learning, reinforcement learning). * Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud). * Familiarity with data ...

Sallie_mae

Senior Manager, Statistical Modeling

Newark, DE

$85K - $104K/yr

... machine learning algorithms(supervised, unsupervised, deep learning, reinforcement learning). * Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud). * Familiarity with data ...

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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.

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 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:

Junior Aws Machine Learning jobs near you

Java AWS Software Engineer III

JP Morgan Chase

Newark, DE • On-site

$51 - $70/hr

Full-time

Medical, Retirement

Posted 3 days ago

New

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post Trade Technology Reporting 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. This group is going through a migration and modernization journey where you will be contributing to designing products, owning the design end-to-end, designing & building applications, and testing activities.

Job responsibilities

  • Develop code that conforms to the design, addresses non-functional requirements, and complies with the coding standards and conventions

  • Create detailed Unit Test cases, perform unit testing, integration testing, support QA and User acceptance testing and also address ad hoc user queries

  • Practice test-driven development, automated testing and continuous integration

  • Actively participate in peer review sessions by evaluating code quality, ensuring adherence to best practices, identifying defects, and providing constructive, actionable feedback to improve overall team deliverables

  • 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.

  • Mentor and support junior developers by offering technical guidance, conducting knowledge-sharing sessions, reviewing their work, and fostering skill development to strengthen team capabilities

  • Analyze programs and troubleshoot production issues. Identify potential performance tuning improvement areas and implement tuning measures

  • Collaborate with regional and global team members from other regions

  • Possess a good understanding of change management and release processes

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience

  • Hands-on experience coding in one or more programming languages, including Java 

  • Experience designing and implementing applications using Spring Boot

  • Hands-on experience with AWS Cloud technologies

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

  • Overall knowledge of the Software Development Life Cycle

  • 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

  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Proven experience designing and building scalable big data warehouses using Apache Spark, including data ingestion, transformation, and optimization for large-scale datasets

  • Working knowledge of containerization and orchestration tools such as Kubernetes and Docker, along with experience leveraging Databricks for distributed data processes and analytics

  • Hands-on experience working with AWS cloud services (e.g., S3, EC2, EMR), NoSQL databases such as MongoDB, and modern data lake technologies including Apache Iceberg for efficient data storage and management

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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