Data Science Specialist

Role Overview

We seek a motivated Junior Generative AI Developer to design, implement, and optimize cutting-edge generative AI solutions. You’ll work closely with senior engineers to build applications leveraging LLMs (e.g., GPT-4, Claude, Gemini), diffusion models, and multimodal systems while adhering to ethical AI practices. This will be a hands-on individual contributor role.

Key Responsibilities

• Model Development & Fine-Tuning
• Assist in developing, training, and fine-tuning generative models (text, image, code) using frameworks like PyTorch, TensorFlow, or JAX.
• Implement RAG (Retrieval-Augmented Generation) pipelines and optimize prompts for specific domains.
• Tooling & Integration
• Build applications using tools like LangChain, LlamaIndex, or Hugging Face Transformers.
• Integrate GenAI APIs (OpenAI, Anthropic, Mistral) into enterprise workflows.
• Prompt Engineering
• Design and test advanced prompting strategies (e.g., few-shot learning, chain-of-thought, ReAct frameworks) for domain-specific tasks (legal, healthcare, finance).
• Create reusable prompt templates for common workflows (customer support, code generation, content moderation).
• Evaluation & Optimization
• Develop metrics for hallucination reduction, output consistency, and safety alignment.
• Optimize model inference costs using quantization, distillation, or speculative decoding.
• Collaboration
• Work with cross-functional teams (product, data engineers, UX) to deploy AI solutions.
• Document technical processes and contribute to knowledge-sharing sessions.

Qualifications

Preferred Qualifications Additions