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 :
We are seeking a highly skilled Generative AI Engineer with a strong background in Python, AWS, and Machine Learning technologies. The ideal candidate should have experience building and deploying solutions in NLP, Deep Learning, and Generative AI. This role requires hands-on expertise, problem-solving ability, and a passion for innovation.
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 programmingHands-on experience with AWS services relevant to AI / MLStrong expertise in Machine Learning, Deep Learning, and NLPProficiency in building, fine-tuning, and deploying Generative AI models (e.g., GPT, BERT, Llama, etc.)Solid understanding of model evaluation, performance tuning, and inference optimizationFamiliarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, etc.Strong problem-solving skills and ability to work in a fast-paced environmentGood to Have :
Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate)Exposure to prompt engineering and RAG (Retrieval-Augmented Generation) techniquesPrevious client-facing or enterprise project experienceUnderstanding of MLOps and model monitoring in productionNote : Candidates must be willing to work from the Bangalore office, 5 days a week.
(ref : hirist.tech)