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Urgent need for GEN AI || Hybrid || Connecticut ,Hartford || GC ,USC AND GCEAD at Hartford, Connecticut, USA
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Description:      

GEN AI Data Platform Engineer

6-Month C2H

Hybrid in Hartford, CT 3 days a Week

Job Description:

This role requires versatility and expertise across a wide
range of skills. Someone with a diverse background/experience and an engineer
at heart will fit into this role seamlessly.

The Generative AI team is comprised of a multiple cross-functional
group that works in unison and ensures a sound move from our research
activities to scalable solutions. You will collaborate closely with our cloud,
security, infrastructure, enterprise architecture and data science team to
conceive and execute essential functionalities.

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 fine tuning.

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.

Experience with CI/CD
pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit
Testing and Integration Testing tools.

Experience with
building scalable server less application (real-time / batch) on AWS stack
(Lambda + step function)

Knowledge of distributed NoSQL database systems.

Experience with data engineering, and conversation UX is a
plus.

Experience with HPCs,
vector embedding, and Hybrid/Semantic search technologies.

Experience with AWS
OpenSearch, Step/Lambda Functions, API Gateways, ECS/Docker is a plus.

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) is a plus.

Strong proficiency in
embedding, ANN/KNN, vector stores, database optimization, & performance
tuning.

Extensive programming
experience with Python, Java.

Experience with LLM
orchestration frameworks like Lang chain, Llama Index etc.

Foundational understanding of Chat GPT, Gemini, Copilot, or
other Open AI tools, NLP, and Deep Learning.

Excellent problem-solving skills and the ability to work in
a collaborative team environment.

Excellent communication skills.

The
secret of getting ahead is getting started
.

Thanks and Regards!!

Sapna Singh

Technical Resource Specialist

Ace Technologies Inc

2375 Zanker Road,
Suite 250, San Jose, CA 95131

Phone: 408-617-7200 | Extn 4291 | Email
ID/Hangout : 
[email protected]

Reporting Manager: Manish Sharma| Email ID

[email protected]
| Phone: 408-617-7200 Ext 4298

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Keywords: continuous integration continuous deployment artificial intelligence user experience information technology California Connecticut Idaho
Urgent need for GEN AI || Hybrid || Connecticut ,Hartford || GC ,USC AND GCEAD
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Tue Jun 25 15:07:00 UTC 2024

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