GenAI

GenAI - SME/Architect

Jersey City, NJ

Hybrid

Job Description:

As a GenAI SME, you will play a crucial role in developing, implementing, and maintaining advanced AI systems that drive innovation and solve complex problems. You will collaborate with cross-functional teams to design and deploy AI solutions that enhance products and services, leveraging your expertise to push the boundaries of what AI can achieve.

1. Expertise in Python, Data Structures, and API Calls- Solid foundation for working with generative AI models and frameworks.

2. Strong Communication Skills (Documentation & Presentations)- Ability to clearly document/present complex technical concepts for both technical and non-technical audiences.

3. Effective Teamwork - Collaborate effectively on large projects while also possessing the ability to independently drive research and development efforts.

4. Data Mining and Text Processing- Extract valuable insights from various data sources to train and improve generative models.

5. Building RAG Pipelines (Highly Desired) - Demonstrated experience building retrieval-augmented generation pipelines, a key technique in generative AI.

6. Machine Learning (ML), Natural Language Processing (NLP), Generative Adversarial Networks (GANs), Transformers & BERT flavors, Hugging Face Model Implementation and Fine-Tuning.

7. Solid understanding of these core concepts for generative AI development.

8. Hands-on Experience with Vector Databases- Experience with Chroma DB, PineCone, Milvus, FAISS, Arango DB for data storage and retrieval relevant to generative AI projects.

9. Collaboration- Ability to collaborate effectively with Business Analysts (BAs), Development Teams, and DevOps teams to bring generative AI solutions to life.

10.Hands-on Experience of Embedded Models- Familiarity with deploying generative models on resource-constrained devices can be a significant asset.

Ex: Open AI – Ada Embedding 002 model

11.Experience with POC Tools (Streamlit, Gradio)- Ability to rapidly prototype and showcase generative AI concepts.

12.Cloud Experience (AWS Bedrock or similar)- Expertise in managing and deploying large-scale generative AI models on cloud platforms with basic knowledge such as EC2, ECS, ECR, S3, Sagemaker etc.

13.Expertise in Specific LLMs (Any one deep knowledge in OpenAI, Jurassic-1 Jumbo, LLAMA, mistral, Mixtral, Gemma, Gemini Pro)- In-depth knowledge of a particular LLM may be required depending on the specific project focus