Generative AI Engineer (Specialist - Data Sciences)

Role description

Title: Generative AI Engineer - LLM & RAG

Location: Tampa, FL (Hybrid - 3 days onsite)

Job Description

This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance domain

Responsibilities • Design develop and implement cutting-edge Generative AI solutions for various AIML projects in Finance building upon existing foundations • Lead the integration of Retrieval Augmented Generation RAG techniques to enhance the accuracy and context awareness of our AI systems • Develop and refine Large Language Model LLM based solutions leveraging expertise in prompt engineering and finetuning • Utilize table transformers and other advanced Python packages for extracting and processing complex financial data • Work end to end on GenAI solutions from data preprocessing and model development to deployment and monitoring • Collaborate with cross functional teams to ensure seamless integration of AI solutions into existing workflows • Stay UpToDate with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts • Communicate technical concepts and findings clearly and effectively to both technical and nontechnical audiences

Qualifications • Bachelors in Computer Sciences or related field • Master's degree or PhD in Data Science Computer Science or a related field is preferred

• Proven experience 6 - 8 years in developing and deploying AIML solutions in real world settings • Minimum 2 years of experience specifically with Generative AI solutions • Proven experience in developing and deploying Generative AI solutions in real world settings • Deep understanding of

1. Retrieval Augmented Generation RAG

2. Large Language Models LLMs and their applications

3. Transformer models e.g. BERT GPT

4. Agentic AI understanding

5. Prompt engineering and finetuning techniques

6. Vector databases and similarity search

7. Lang Chain LlamaIndex or similar frameworks for building GenAI applications

8. Model evaluation metrics for GenAI

9. MLOps principles and practices for deploying and managing AI models

• Strong programming skills in Python including experience with relevant libraries and frameworks e.g. TensorFlow PyTorch scikitlearn Pandas NumPy • Excellent communication collaboration and problem-solving skills • Handson experience with end-to-end AI project development and deployment

Preferred Qualifications • Formal coursework or certifications in Data Science • Experience in the financial services industry • Familiarity with cloud computing platforms e.g. AWS Azure GCP • Contributions to opensource AI projects

What to expect • Opportunity to work on cutting edge AI projects • Collaborative and innovative work environment

Certification Required: TOGAF