
AI/ML Engineer
3 weeks ago
Where Can You Create Impact :
Build with LLMs & GenAI :
- Fine-tune and deploy Large Language Models (LLMs) like GPT, BERT, etc., for
core AI features across the product
- Develop and optimize Generative AI capabilities diffusion models, LoRA, or
similar frameworks
- Continuously improve performance using prompt engineering, retrieval-augmented
generation (RAG), and user feedback
Deploy AI Workflows :
- Build scalable, production-ready AI workflows and pipelines using APIs, microservices, and vector databases
- Translate prototypes into stable product features in collaboration with product and backend teams
- Integrate AI systems into real-time and batch data processing layers
Infrastructure & Performance :
- Work with cloud GPU environments (AWS/GCP/Azure) to train, run, and monitor LLM-based systems
- Optimize inference latency and throughput for high-scale use cases
Requirements for the Role :
- 23 years of experience in AI/ML Engineering
- Strong Python skills with experience in frameworks like PyTorch or TensorFlow
- Proven hands-on experience with LLMs, prompt engineering, or Generative AI models
- Experience deploying models to production in a cloud environment (AWS/GCP/Azure)
- Comfortable with tools like HuggingFace, LangChain, or similar open-source stacks
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