Generative AI Engineer

About the Role

We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AI/ML projects within the Finance domain.

Responsibilities

• 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 fine-tuning.
• 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 up-to-date 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 non-technical audiences.

Qualifications

• Bachelor's 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 AI/ML 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:
• Retrieval Augmented Generation (RAG)
• Large Language Models (LLMs) and their applications
• Transformer models (e.g., BERT, GPT)
• Agentic AI understanding
• Prompt engineering and fine-tuning techniques
• Vector databases and similarity search
• LangChain, LlamaIndex or similar frameworks for building GenAI applications
• Model evaluation metrics for GenAI
• 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, scikit-learn, Pandas, NumPy).
• Excellent communication, collaboration, and problem-solving skills.
• Hands-on experience with end-to-end AI project development and deployment.

Preferred Skills

• 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 open-source AI projects.