Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at Provenir
.

Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital‑first decisioning solutions that drive business growth.

If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. You will design, develop, and deploy machine learning models and AI systems that solve real‑world problems. You’ll work closely with data scientists, engineers, and product teams to turn data into actionable insights and intelligent solutions.

This is a remote role
, ideally suited for candidates based in the U.S. East Coast time zone, to support better alignment with our core team.

We are only considering candidates who are authorized to work in the United States without the need for current or future visa sponsorship.

• Strong Python development skills, including experience with modern frameworks (FastAPI preferred) and testing practices (pytest, unittest)
• Proven ability to take ML/LLM models from prototype to production in containerized, cloud‑native environments
• Hands‑on experience with deploying and managing services on Kubernetes (EKS) and Docker‑based workflows
• Expertise with AWS services:
  Bedrock, Sage Maker, Lambda, EKS, S3, IAM, Cloud Watch
• Familiarity with Generative AI frameworks (Lang Chain, Llama Index) and Agent development (tool integration, RAG workflows)
• Knowledge of vector databases and embeddings (e.g., Pinecone, FAISS, Open Search)
• Experience with CI/CD pipelines (Git Hub Actions preferred) and Infrastructure as Code (Terraform, Cloud Formation)
• Solid foundation in object‑oriented programming with a language such as Java, C#, or C++ (in addition to Python)
• Understanding of MLOps practices including monitoring, logging, scaling, and secure deployment in production

• Designing and developing APIs and reusable components for ML and GenAI deployment
• Building and scaling ML/GenAI pipelines on AWS (Bedrock, Sage Maker, Step Functions, Argo, Kubeflow on EKS)
• Product ionising LLMs, generative AI applications, and predictive models on Amazon Bedrock
• Developing and integrating AI Agents with frameworks like Lang Chain for orchestration and tool use
• Writing robust, testable, and maintainable Python code for backend services, SDKs, and ML workflows
• Packaging and deploying containerized services on Kubernetes (EKS) with attention to scalability, resilience, and observability
• Working in a modern MLOps environment with CI/CD, monitoring, and version control best practices
• Supporting and maintaining cloud‑native SaaS solutions at scale on AWS

Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote‑friendly opportunities, and maternity/paternity leave.

At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.