Senior Gen Ai
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Key skills for this role
About the Role
Key Responsibilities Design, build, and optimize GenAI and agentic AI solutions for enterprise use cases. Develop and maintain scalable microservices and AI pipelines for produc.
Key Skills for This Role
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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:
Topic Modeling
- Exposure to cloud technologies, APIs, Docker, and vector databases such as Qdrant and PostgreSQL is a plus.
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