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My client is a market leader in the data, platform, and analytics across multiple regions and across many sectors (including financial services, consumer products, manufacturing & life sciences). 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.
Job Responsibility:
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
Implementing 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
Requirements:
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
Nice to have:
Foundational knowledge on Cloud, API frameworks and docker
Experience with databases like qdrant, Postgres etc