GenAI Specialist
Skills
About This Role
Overview
- I am seeking an experienced GenAI Specialist to work on building and deploying next generation AI powered solutions integrating LLMs and optimizing pipelines for production readiness.
- This role requires someone with a balance of analytical skills, strategic foresight, and the ability to collaborate effectively across diverse teams.
- The GenAI Specialist will be instrumental in designing and implementing data strategies that enhance business growth, optimize operations, and foster an inclusive environment of innovation.
- Building the MCP model, context protocol, agentic AI, and experience in building and maintaining microservices.
- Building and deploying machine learning models to detect and prevent financial crimes, achieving a measurable reduction in fraud losses.
- Implement Generative AI solutions to generate synthetic data for training, significantly improving model accuracy for given use cases.
- Roll out scalable ML systems that process millions of transactions daily, reducing false positives in compliance alerts
- Drive the adoption of advanced ML algorithms to identify sanctions evasion patterns, cutting investigation times for compliance teams.
- Execute A/B testing on ML-driven compliance tools, achieving a statistically significant boost in operational efficiency
- Expertise in model optimization and hyperparameter tuning to achieve high precision and recall in fraud detection and compliance applications.
- Analytical Thinking & Problem Solving: Proven ability to dissect complex problems and provide actionable insights in a timely manner.
- Strategic Mindset: Experience developing and executing strategies that are both long-term and adaptable to changing business landscapes.
- Ability to write production grade PEP8-compliant python code with a focus on readability, scalability and maintainability.
- Collaboration & Communication: Strong interpersonal skills, with an emphasis on listening, empathy, and the ability to translate complex data concepts into understandable terms for non-technical stakeholders.
Your Skills and Experience
- Proven track record and experience with GenAI technologies
- Hands-on experience with LLMs techniques (e.g., RAG, Agents, Graph RAG)
Experience
- in:
- Open source LLMs (like Llama, Gemma, Mistral etc)
- Closed source LLMs (such as Open AI GPT, Azure Open AI, Claude, Gemini etc)
- Prompt Engineering/Tuning
- RAG
- RAFT
- LLM finetuning such as PEFT (LoRA, QLoRA)
- Proven expertise in Python, especially in NLP and GenAI frameworks
- Strong experience in Generative Models GANs, VAEs, Transformers
- Knowledge of NLP algorithms that can handle various tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on.
- Good to have foundational knowledge on Cloud, API frameworks and docker.
- Good to have experience with databases like qdrant, Postgres etc
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