Job Information
Oracle Principal Machine Learning Applications Engineer in Springfield, Illinois
Job Description
As a Senior Machine Learning Engineer, you should be proficient in Data Structures, Java, object-oriented principles, building distributed systems, containerization, orchestration, and cloud-native architectures, you will collaborate with cross-functional teams to build scalable, reliable, and production-ready solutions. Oracle is investing heavily in Generative AI, and as a Senior ML Engineer, you must have a good understanding and experience in leveraging the capabilities of Large Language Models.
In this role, you will design, develop, and build scalable services that leverage from latest and greatest advancements in GenAI to solve complex business problems intelligently. Your expertise will be pivotal in developing Conversational AI solutions, Agentic flows using LLM and other cutting-edge Machine learning techniques to shape up and enhance users' experience with AI/ML/GenAI capabilities. You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions.
The ideal candidate is highly technical, proficient in Java, python, Data Structures and have experience of building scalable solutions particularly around ML and AI/GenAI, but can lead across the full stack, along with good product sense and business understanding, to map the technology choices to the context of each initiative.
Responsibilities
Responsibilities
Write elegant and performant code in Java.
Create detailed technical designs specifications, present it to the team and write code as per the design.
Perform thorough peer code reviews.
Design and build scalable solutions for distributed systems using microservices.
Develop proof of concepts in Java as well as python for AI and GenAI solutions.
Design and build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks, etc. in GenAI space.
Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver AI/ML capabilities in a micoservcies architecture for our customers.
Leverage third-party and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems with low latency serving and reliable means to update/re-train ML models.
Design, test, and deploy Machine learning models, including large-language models and build pipelines at scale for batch and real-time use cases.
Work collaboratively with cross-functional partners including product managers, operations team, and data scientists.
Communicate continually with the project teams and explain progress on the development effort.
Ensures quality of work through development standards and QA procedures.
Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops.
Identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.
Attracts, grows, and develops the engineering team with builders and creators.
Qualifications
BS/MS in Computer Science or related fields
Proficient in Java and object-oriented concepts.
Comfortable in writing code in python.
Should be able to contribute to the design reviews and have opinion about design decisions.
Good working knowledge of Microservices Architecture, Application Architecture, and Technology Architecture.
Hands-on experience in building and operating highly available and large-scale services
Experience in building GenAI solutions using RAG framework and building LLM Agentic applications is preferred.
Experience in building, testing and deploying machine learning models, including large language models.
Experience with containers and cloud native components
Experience with scripting languages for developing automations
Experience in developing resilient and fault tolerant systems
5+ years software engineering experience in a distributed cloud environment and 3+ years of experience in building machine learning solutions
Disclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range: from $94,200 to $223,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
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Disclaimer:
Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
* Which includes being a United States Affirmative Action Employer
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