As part of the OCI Gen AI and Data Solutions for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers. As a Principal member of the technical staff, you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.
- Work directly with key customers and accompany them on their Gen AI journey – understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.
- You will dive deep into model structure to optimize model performance and scalability.
- You will build state of art solutions with brand new technologies in this fast-evolving area.
- You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch.
- You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.
- Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.
- Be an enthusiastic, self-motivated, and a great collaborator.
- Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.
Qualifications and experience
- Bachelors or master’s in computer science or equivalent technical field with 10+ years of experience
- Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations).
- Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams.
- Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming.
- Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
- Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
- Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
- Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
- Ability and passion to mentor and develop junior machine learning engineers.
- Proficient in Python and shell scripting tools.
Preferred Qualifications:
- Masters or Bachelor's in related field with 5+ years relevant experience
- Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store
- Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus.
- Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.
- Experience with Large Language Models (LLMs) serving technologies like DeepSpeed, FasterTransformer etc.
- Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
- Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies.
- Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
- Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers).
- Experience in diagnosing, fixing, and resolving issues in AI model training and serving.
Career Level - IC4
Looking for an experienced Software Development Engineer (IC4) to join our OCI Gen AI and Data Solutions team for strategic customers team.
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:
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
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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.
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