AI Developer
Bengaluru
TransUnion
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What We'll Bring:
As a 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 on complex AI projects.Years of Experience: 3-7 Years
What You'll Bring:
Key Responsibilities
- Develop, and optimize generative AI models with a strong focus on RAG and Graph RAG.
- implement end-to-end generative AI solutions, from data preparation to production deployment
- 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
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 large language models (LLMs) transformers such as GPT, BERT, T5, etc.
- Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, DALL-E)
- Familiarity with prompt engineering and few-shot learning techniques
- Familiar with 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:
Qualifications
- Advanced degree in Computer Science, Machine Learning, or related field with a focus on generative models
- 2+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes
TransUnion Job Title
Developer, Data Development* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure BERT CI/CD Computer Science DALL-E Data pipelines 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 Scrum Transformers Unsupervised Learning Vertex AI
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