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Position: Gen AI Developer
Location: Hyderabad
Duration: Perm
Here is the detailed JD and the details requested.
In simple please search for a GenAI Developer profile with good experience on Python + Pytorch / Tensorflow + LLMs fine tuning + RAG + Langchain / Hugging face / Langgraph
Hope this helps.
Required Technical Skills:
• Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Must Have- one of the frameworks)
• Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA). (Must Have)
• Exposure to RAG systems and basic knowledge of hybrid search techniques. (Must Have)
• Understanding of model deployment and containerization (Docker). (Good to Have)
• Proficiency in Python for AI development, data preprocessing, and scripting. (Must Have- Python should be strong)
• Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. (Good to Have- at least one of this skill)
• Understanding of version control systems (Git). (Must Have)
• Awareness of AI compliance, data privacy, and responsible AI principles. (Good to Have)
Required Soft Skills:
• Strong teamwork and communication abilities.
• Willingness to learn new AI/ML technologies and frameworks.
• Analytical mindset and attention to detail.
• Openness to feedback and continuous improvement.
Qualifications:
• Bachelor's degree or Master's degree in Computer Science, Data Science, AI, or a related field.
• 3–5 years of professional experience in AI/ML development, with exposure to Generative AI.
• Experience delivering AI/ML projects in a collaborative setting.
• Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
Job ID: 147189217
Skills:
Tensorflow, Git, Pytorch, Docker, Keras, Python, LangChain, LLMs, RAG systems, Hugging Face, LangGraph, LoRA, Fine-tuning, Prompt Engineering, QLoRA, LlamaIndex
Skills:
Python, Java, Aws, Cloud, Azure, Data Visualization
Skills:
RAG (Retrieval-Augmented Generation), Python, Microsoft Azure, Azure Functions, Azure Container Apps
Skills:
containerization , Restful Services, S3, Performance Tuning, Spring Boot, Microservices, Nosql, RDBMS, Ec2, Spring Security, Azure DevOps, AWS, Java, Data structures, J2EE, Spring Jpa, Spring, Jms, Algorithms, Git, Mvc, Active MQ, code refactoring, Defect management tools, Thread dump analysis, Cloud platforms, EKS, GenAI Platforms
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