Senior Gen Ai

Client of Xperts4

Key Responsibilities

• Design, build, and optimize GenAI and agentic AI solutions for enterprise use cases.
• Develop and maintain scalable microservices and AI pipelines for production environments.
• Build and deploy machine learning models for fraud detection, compliance monitoring, and financial crime prevention.
• Implement Generative AI solutions, including synthetic data generation and advanced NLP applications.
• Deploy scalable ML systems capable of processing large-scale transactional data with improved operational efficiency.
• Optimize model performance through hyperparameter tuning and advanced evaluation techniques.
• Conduct A/B testing and performance analysis for ML-driven solutions.
• Develop production-grade, PEP8-compliant Python code focused on scalability, readability, and maintainability.
• Collaborate with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.

Required Skills & Experience

• Experience with advanced LLM techniques such as RAG, Graph RAG, AI Agents, and fine-tuning approaches.
• Strong hands-on experience with GenAI technologies and LLM ecosystems.
• Familiarity with both open-source and commercial LLMs, including models such as Llama, Mistral, Gemma, GPT, Claude, and Gemini.
• Expertise in Prompt Engineering, RAG pipelines, RAFT, and PEFT methods (LoRA, QLoRA, etc.).
• Strong proficiency in Python and GenAI/NLP frameworks.
• Experience with Generative Models including GANs, VAEs, and Transformers.
• Solid understanding of NLP tasks including:
  Intent Recognition
  Entity Extraction
  Language Modeling
  Text Classification
  Question Answering
  Summarization
  Topic Modeling
• Exposure to cloud technologies, APIs, Docker, and vector databases such as Qdrant and PostgreSQL is a plus.