Posted:4 days ago|
Platform:
Remote
Full Time
📅 Start Date: Immediate Joiners Preferred
10–15 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack
2. Strong Python programming development experience, streamlit, XML, JSON etc.
3. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models.
4. Strong knowledge of AI governance, security, guardrails, and responsible AI.
5. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
6. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus).
7. Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow)
8. Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring
9. Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows
3. Experience with front end languages such as React, Angular or Javascript etc.
4. Experience in Oracle ATP, 23ai Databases and vector queries
1. Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios.
2. Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes.
3. Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components
4. Good to have knowledge of Analytics and Data Science.
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