Sr Developer
Bengaluru
TransUnion
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What We'll Bring:
As a Senior Generative AI Developer, you will play a pivotal role in designing, developing, evaluating and deploying advanced generative AI models. You will be responsible for leveraging RAG (Retrieval-Augmented Generation) and Graph RAG models to create sophisticated AI-driven solutions. This role requires a deep understanding of generative models, machine learning algorithms, and the ability to work and deliver on complex AI projects.What You'll Bring:
Years of Experience: 5-10 Years
Key Responsibilities
- Design, develop, and optimize generative AI models with a strong focus on RAG and Graph RAG.
- Implement state-of-the-art techniques for retrieval-augmented generation and graph-based AI models.
- Apply RAG models to enhance information retrieval and generation tasks, improving the quality and accuracy of AI outputs.
- Develop custom AI models and fine-tune pre-trained models for specific client use cases
- Optimize generative models for production, balancing performance, latency
- Design and implement efficient data pipelines for training and serving generative models
- Develop strategies for effective prompt engineering and few-shot learning in production systems
- Implement robust evaluation frameworks for generative AI outputs
- Address challenges related to bias, fairness, and ethical considerations in generative AI applications
- Develop internal tools and frameworks to accelerate generative AI development
- Mentor and guide junior developers in generative AI techniques and best practices.
- Stay updated with the latest research in generative AI, RAG, and Graph RAG, and apply new methodologies to improve model outcomes.
- Experiment with different model architectures and approaches to achieve optimal results.
Project Delivery
- Lead the technical aspects of generative AI projects from pilot to production
- Deploy AI models into production environments, ensuring scalability, efficiency, and reliability.
- Collaborate with DevOps teams to seamlessly integrate models into existing systems and workflows.
- Develop proof-of-concepts and prototypes to demonstrate the potential of generative AI in solving client problems
- Conduct technical feasibility studies for applying generative AI to novel use cases
- Implement monitoring and observability solutions for deployed generative models
- Troubleshoot and optimize generative AI systems in production environments
Technical Skills
- Required
- Strong programming skills in languages such as Python, Java, or C++
- Solid understanding of machine learning algorithms and techniques
- Demonstrated experience with latest large language models (LLMs)
- Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, LlamaIndex, Jarvis etc)
- Extensive experience with RAG (Retrieval-Augmented Generation) and GraphRAG models.
- Familiarity with prompt engineering and few-shot learning techniques
- Expertise in MLOps and LLMOps practices, including CI/CD for ML models
- Strong knowledge of one or more cloud-based AI services (e.g., AWS Bedrock, Azure ML, Google Vertex AI)
- Deep understanding of state-of-the-art AI architectures (e.g., Transformers, VAEs, GANs, Diffusion Models)
- Proficiency in Python and software engineering best practices for AI systems
- Preferred
- Proficiency in optimizing generative models for inference (quantization, pruning, distillation)
- Experience with distributed training of large-scale AI models
- Advanced Techniques: Experience with reinforcement learning, unsupervised learning, or graph-based learning models.
- Agile Methodologies: Experience working in Agile/Scrum environments.
- Version Control: Proficiency with Git and other version control systems.
Impact You'll Make:
TBD
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.TransUnion Job Title
Sr Developer, Data Development* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure CI/CD Data pipelines DevOps Diffusion models Engineering GANs Generative AI Generative modeling Git GPT Java LLMOps LLMs Machine Learning ML models MLOps OpenAI Pipelines Privacy Prompt engineering Python RAG Reinforcement Learning Research Scrum Transformers Unsupervised Learning Vertex AI
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