Python-GenAI-LLMOps

Key Responsibilities:

• Key Responsibilities
• Develop and deploy Generative AI applications using LLMs GPT Llama etc
• Build and maintain LLM pipelines including prompt engineering and fine tuning
• Design and implement end to end AI ML workflows data model deployment
• Work with vector databases for semantic search and retrieval RAG architecture
• Implement LLMOps practices for monitoring evaluation and versioning
• Integrate LLMs into applications via APIs and microservices
• Optimize model performance cost and latency
• Collaborate with data engineers product teams and stakeholders
• Conduct testing validation and debugging of AI models
• Ensure security compliance and responsible AI practices
• Required Skills Qualifications
• Technical Skills
• Strong proficiency in Python
• Hands on experience with Generative AI LLM frameworks
• OpenAI Azure OpenAI APIs
• Hugging Face Transformers
• LangChain LlamaIndex
• Experience with prompt engineering and RAG Retrieval Augmented Generation
• Familiarity with vector databases FAISS Pinecone Weaviate Chroma
• Knowledge of ML DL frameworks PyTorch TensorFlow basics
• Experience in API development FastAPI Flask
• Understanding of RESTful services and microservices architecture

Technical Requirements:

• Primary skills Technology Data Science Machine Learning Technology Geographical Information System Spatial Databases SQL Server Technology Machine Learning Python

Additional Responsibilities:

• Preferred Skills Nice to Have
• Experience with fine tuning LLMs parameter efficient tuning LoRA PEFT
• Knowledge of multimodal AI text image audio
• Exposure to cloud platforms AWS Azure GCP
• Experience with Kubernetes and scalable deployments
• Knowledge of data engineering tools Spark Kafka
• Familiarity with vector search optimization and embeddings
• Understanding of AI governance ethics and compliance
• Experience with chatbots copilots or conversational AI systems

Preferred Skills:

Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)