GenAI Lead / Architect at Dallas, TX / Jersey City, NJ / Jacksonville, FL / Tampa, FL (onsite) (Need Local Consultants Only)

[Shivam Singh]

Hi,

I hope this email finds you well.

Please review the job description & let me know if you are interested.

 

Job Title: GenAI Lead / Architect

Location: Dallas, TX / Jersey City, NJ / Jacksonville, FL / Tampa, FL (onsite)

Contract/Full-Time

 

Need Local Consultants Only

Need Someone from Banking Domain

 

Job Description:

 

 

Core Al/ML Foundations:

Strong foundational knowledge in GenAl, Machine Learning (ML modeling), Data Science, Statistics, and Al fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).

Generative Al & LLM Expertise:

Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAl models, Anthropic Claude, Mistral, Llama, and various other open- source LLMs.

Critical: Deep working knowledge and hands-on experience with Retrieval- Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.

Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex Al, Hugging Face, etc.

Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.

Hands-on experience with agentic framework-based use case implementation.

Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAl features.

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and Llamalndex.

Proficiency in integrating generative Al with enterprise applications using APIs, knowledge graphs, and orchestration tools.

Hands-on experience with various vector databases (e.g., PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.

Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.

Deployment & MLOps:

Critical: Hands-on experience deploying GenAl-based models to production environments.

Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.

Strong expertise in CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.

Cloud & Containerization:

Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment.

Soft Skills:

Strong problem-solving abilities, excellent collaboration skills for working effectively with cross-functional teams, and the capability to work independently on complex, ambiguous problems.

Shivam Singh

Technical Recruiter | eHub Global

 shiv...@ehub.global

[saikr...@meridiansoft.com]

Hi,

Please find below the profile(s):

Name: Kumar
Technology: Data Science
Experience: 13 yrs
Visa: H1B
Location: TX
Relocation: NO, Remote Only

Name: Nehal
Technology: Data Analyst / Data Science
Experience: 12 yrs
Visa: H1T
Location: AR
Relocation: YES



Thanks & Regards,
Sai | Bench Sales Recruiter
saikr...@meridiansoft.com
Desk: (380)388-3683