MLOps/AI Engineer/ Data Scientist
Core
Design, develop, and productionize innovative AI and machine learning solutions addressing real business challenges in financial services.
Role type
Senior IC MLOps/AI Engineer / Data Scientist
Builds
Production-grade AI applications, services, reusable libraries, and scalable ML pipelines for banking and financial clients.
Domain
Financial services (banking, payments, capital markets) + AI/ML engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, machine learning model development, feature engineering, software engineering, API design, microservices, Docker, Kubernetes, CI/CD, cloud platforms
Preferred skills
Generative AI, LLMs, RAG, agents, Kubeflow, LangChain, Haystack, vector search, embeddings, DevOps, Infrastructure as Code, observability
Technologies
Python, Docker, Kubernetes, Kubeflow, LangChain, Haystack, microservices, cloud-native technologies
Responsibilities
Design and maintain ML/AI pipelines from experimentation to deployment and monitoring; Build robust AI applications using Python, APIs, and microservices; Develop reusable AI/ML libraries and frameworks; Apply MLOps and DevOps practices to AI solutions; Collaborate with stakeholders to turn prototypes into reliable solutions; Define engineering standards and architectural principles for AI development.
Seniority
Senior, hands-on IC