
Generative AI Engineer
4 weeks ago
Job Title : Generative AI Engineer
Experience : 4+ Years
Location : Bangalore (Work From Office 5 Days a Week)
Interview Process : Internal + Client Round (Face-to-Face)
Job Summary :
Key Responsibilities :
- Design, develop, and deploy Generative AI models (LLMs, diffusion models, etc.) for real-world applications
- Implement and optimize NLP solutions for tasks such as summarization, question answering, and chatbot interfaces
- Apply Deep Learning and Machine Learning techniques to solve complex business problems
- Work with large datasets to train, fine-tune, and evaluate AI models
- Collaborate with cross-functional teams including data scientists, product managers, and engineers
- Deploy scalable AI solutions on AWS using services like SageMaker, Lambda, EC2, and more
- Stay updated on latest advancements in AI/ML and GenAI research and tools
Required Skills :
- 4+ years of experience in Python programming
- Hands-on experience with AWS services relevant to AI/ML
- Strong expertise in Machine Learning, Deep Learning, and NLP
- Proficiency in building, fine-tuning, and deploying Generative AI models (e.g., GPT, BERT, Llama, etc.)
- Solid understanding of model evaluation, performance tuning, and inference optimization
- Familiarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, etc.
- Strong problem-solving skills and ability to work in a fast-paced environment
Good to Have :
- Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate)
- Exposure to prompt engineering and RAG (Retrieval-Augmented Generation) techniques
- Previous client-facing or enterprise project experience
- Understanding of MLOps and model monitoring in production
Note : Candidates must be willing to work from the Bangalore office, 5 days a week.
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