Oracle

Solution Specialist - AI & Analytics

Posted On

March 21, 2025

Location

Bengaluru, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

Sept. 17, 2025

Job Description

About Oracle APAC ISV Business

Oracle APAC ISV team is one of the fastest-growing and high-performing business units in APAC. We are a prime team that operates to serve a broad range of customers across the APAC region. ISVs are at the forefront of today's fastest-growing industries. Much of this growth stems from enterprises shifting toward adopting cloud-native ISV SaaS solutions. This transformation drives ISVs to evolve from traditional software vendors to SaaS service providers. Industry analysts predict exponential growth in the ISV market over the coming years, making it a key growth pillar for every hyperscaler.

Our Cloud engineering team works on pitch-to-production scenarios of bringing ISVs’ solutions on the Oracle cloud (#oci) with an aim to provide a cloud platform for running their business which is better performant, more flexible, more secure, compliant to open-source technologies and offers multiple innovation options yet being most cost effective. The team walks along the path with our customers and are being regarded as a trusted techno-business advisors by them.

Required Skills/Experience

Your versatility and hands-on expertise will be your greatest asset as you deliver on time bound implementation work items and empower our customers to harness the full power of OCI. We also look for:

Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications in AI Services on OCI and/or other cloud platforms (AWS, Azure, Google Cloud)
8+ years of professional work experience
Proven experience with end-to-end AI solution implementation, from data integration to model deployment and optimization. Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG workflows.
Proficiency in frameworks such as TensorFlow, PyTorch, scikit-learn, Keras and programming languages such as Python, R, or SQL.Experience with data wrangling, data pipelines, and data integration tools.
Hands-on experience with LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes to scale AI models.
Expertise in analytics platforms like Power BI, Tableau, or other business intelligence tools.
Experience working with cloud platforms, particularly for AI and analytics workloads. Familiarity with cloud-based AI services like OCI AI, AWS SageMaker etc
Experience with building and optimizing data pipelines for large-scale AI/ML applications using tools like Apache Kafka, Apache Spark, Apache Airflow, or similar.
Excellent communication skills, with the ability to clearly explain complex AI and analytics concepts to non-technical stakeholders.
Proven ability to work with diverse teams and manage client expectations
Solid experience managing multiple implementation projects simultaneously while maintaining high-quality standards. Ability to develop and manage project timelines, resources, and budgets.

Career Level - IC4

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