Job Information
Oracle Principal Member of Technical Staff/Solutions Architect - Product Development – Gen AI and Data Solutions in BENGALURU, India
Job Description
Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Generative AI Service team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges.
Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Software Development Engineer (IC4) to join our OCI Gen-AI Solutions team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) with large OpenSearch clusters.
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Responsibilities
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 setting up and finetuning large OpenSearch Clusters.
Experience in setting up data ingestion pipelines with OpenSearch.
Experience with search algorithms, indexing, optimizing latency and response times.
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.
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 semantic search, multi-modal search and conversational search.
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.
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