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The engineer will design, develop, and deploy scalable machine learning models and generative AI solutions while collaborating with cross-functional teams.
They are responsible for architecting production-ready systems and driving strategic technology choices to enhance user experiences.
What you need
Candidates must have proficiency in Python and ML frameworks like PyTorch or TensorFlow, along with experience in distributed systems and cloud-native architectures.
A strong understanding of Large Language Models and the ability to lead technical initiatives are essential for this role.
As a Machine Learning Engineer, you should be proficient in building distributed
systems, containerization, orchestration, and cloud-native architectures, you
will collaborate with cross-functional teams to build scalable, reliable, and
production-ready ML systems. Oracle is investing heavily in Generative AI, and
as a ML Engineer, you must have a strong understanding and experience in
leveraging the capabilities of Large Language Models.
Your expertise will be pivotal in developing Conversational AI solutions 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, particularly around ML and AI, 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
* Proficient in creating detailed design specifications and writing elegant
code.Familiarity with Python, and ML frameworks such as PyTorch, TensorFlow,
etc. is a must
* Lead the incubation of new initiatives, architect scalable solutions, and
drive strategic technology choices to develop and deliver AI/ML capabilities
for our customers.
* Develop high-quality, scalable, and efficient software solutions that
integrate generative AI capabilities.
* Design, develop, test, and deploy Machine learning models, including
large-language models and build pipelines at scale for batch and real-time
use cases.
* 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.
* Work collaboratively with cross-functional partners including product
managers, operations, and data scientists, identify opportunities for
business impact, understand and prioritize requirements for machine learning
systems and data pipelines, drive engineering decisions, and quantify impact.
* 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.
QUALIFICATIONS
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to
comply with applicable requirements, such as immunization/occupational health
mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the
stated locations only
US: Hiring Range in USD from: $68,500 to $158,200 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:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. 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.
Career Level - IC2
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