| GEN AI Platform Engineer | Hybrid | GCEAD, GC and USC only at Hartford, Connecticut, USA |
| Email: [email protected] |
| From: Avnish, stellent it [email protected] Reply to: [email protected] Hi, We have urgent requirement of GEN AI Platform Engineer | Hybrid | Hybrid . Please revert if you are interested to apply. Title: GEN AI Platform Engineer | Hybrid Location: Hartford, CT Duration: C2H Responsibilities: Design and build fault-tolerant infrastructure to support the Generative AI Ref architecture (RAG, Summarization, Agent etc). Ensure code is delivered without vulnerabilities by enforcing engineering practices, code scanning, etc. Build and maintain IAC (terraform/Cloud Formation), CICD (Jenkins) scripts, CodePipeline, uDeploy, & GitHub Actions. Partner with our shared service teams like Architecture, Cloud, Security, etc to design and implement platform solutions. Collaborate with the DS team to develop a self-service internal developer Generative AI platform. Design and build the Data ingestion pipeline for Finetuning LLM Models. Create templates (Architecture As Code) implementing Ref architecture applications topology. Build a feedback system using HITL for Supervised finetuning. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or a technical field. 4+ years of experience with AWS cloud. At least 8 years of experience designing and building data-intensive solutions using distributed computing. 8+ years building and shipping software and/or platform infrastructure solutions for enterprises. Extensive programming experience with Python, Java. Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools. Experience with building scalable serverless application (real-time / batch) on AWS stack (Lambda + step function) Knowledge of distributed NoSQL database systems. Preferred Qualifications: Proficiency in embeddings, ANN/KNN, vector stores, database optimization, & performance tuning. Experience with LLM orchestration frameworks like Langchain, LlamaIndex etc. Foundational understanding of Natural Language Processing, and Deep Learning. Experience with HPCs, vector embedding, and Hybrid/Semantic search technologies. Experience with data engineering, ETL technology, and conversation UX is a plus. Experience with AWS OpenSearch, Step/Lambda Functions, SageMaker, API Gateways, ECS/Docker Proficiency in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, and hierarchical navigable small-world graph (HNSW) Excellent problem-solving and communication skills and the ability to work in a collaborative team environment Thanks & Regards Avnish Rao Technical Recruiter 321-335-1706 [email protected] Keywords: continuous integration continuous deployment artificial intelligence user experience information technology Connecticut GEN AI Platform Engineer | Hybrid | GCEAD, GC and USC only [email protected] |
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| Tue Jun 18 22:15:00 UTC 2024 |