Job Title: Machine Learning Engineer

Company Name: Provenir

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/qailo097qpyqnbpi

Job Description: Posted 4mo agoMachine Learning Engineer@ ProvenirView All JobsWebsiteNew York, New York, United StatesRemoteFull TimeResponsibilities:Design APIs, Build pipelines, Deploy modelsRequirements Summary:Experience with Python, ML/GenAI, Kubernetes, AWS, MLOps, and CI/CD; strong software development and cloud-native deployment.Technical Tools Mentioned:Python, FastAPI, Kubernetes (EKS), Docker, AWS Bedrock, SageMaker, Lambda, S3, IAM, CloudWatch, LangChain, LlamaIndex, Pinecone, FAISS, OpenSearch, GitHub Actions, Terraform, CloudFormation, Java, C#, C++, Kubeflow
Who We AreProvenir 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!What we’re looking for 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. Key Responsibilities and Experience 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 environmentsHands-on experience with deploying and managing services on Kubernetes (EKS) and Docker-based workflowsExpertise with AWS services: Bedrock, SageMaker, Lambda, EKS, S3, IAM, CloudWatchFamiliarity with Generative AI frameworks (LangChain, LlamaIndex) and Agent development (tool integration, RAG workflows)Knowledge of vector databases and embeddings (e.g., Pinecone, FAISS, OpenSearch)Experience with CI/CD pipelines (GitHub Actions preferred) and Infrastructure as Code (Terraform, CloudFormation)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 productionWhat you’ll be doing Designing and developing APIs and reusable components for ML and GenAI deploymentBuilding and scaling ML/GenAI pipelines on AWS (Bedrock, SageMaker, Step Functions, Argo, Kubeflow on EKS)Productionising LLMs, generative AI applications, and predictive models on Amazon BedrockDeveloping and integrating AI Agents with frameworks like LangChain for orchestration and tool useWriting robust, testable, and maintainable Python code for backend services, SDKs, and ML workflowsPackaging and deploying containerized services on Kubernetes (EKS) with attention to scalability, resilience, and observabilityWorking in a modern MLOps environment with CI/CD, monitoring, and version control best practicesSupporting and maintaining cloud-native SaaS solutions at scale on AWSOur 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.