Machine Learning Engineer/LLM Orchestrator

As a Machine Learning / LLM Orchestrator, you will play a crucial role in architecting AI frameworks to empower every team member to independently build and deploy AI-driven features. Your responsibilities will include designing, fine-tuning, and deploying large language models (LLMs), developing adaptive machine learning models for transaction monitoring and fraud risk management, creating internal AI toolkits and frameworks, establishing best practices, and collaborating with leadership to shape the AI strategy and roadmap. - Build and fine-tune local LLM engines - Design automated pipelines for code generation, testing, documentation, and deployment - Develop adaptive machine learning models for transaction monitoring and fraud risk management - Create internal AI toolkits and frameworks for non-engineers to develop UI/UX, backend services, and ML workflows - Establish best practices for prompt engineering, model evaluation, and agent orchestration - Mentor engineers and product teams - Collaborate with leadership to shape the AI strategy and roadmap Qualifications: - At least 2 years of experience in building, fine-tuning, or deploying LLMs or custom ML models - Proficiency with PyTorch or TensorFlow - Familiarity with orchestration frameworks such as LangChain or LlamaIndex - Experience with CI/CD pipelines, Docker/Kubernetes, and microservices - Demonstrated ability to deliver production-ready AI solutions quickly and iteratively - Strong communication skills and a passion for empowering others through technology Join us to shape the future of AI-native fintech, with high autonomy and ownership to define AI frameworks and standards. Experience a fast-paced, experimentation-first environment that values innovation and learning. We offer competitive compensation and flexible remote/hybrid working options. (Note: Omitted the sections "About Company" and "How Are We Different" as they did not contain relevant information for the job description),