Machine Learning Engineer

🚀 AI / Machine Learning Engineer (Remote)Note: To be considered, Please apply with a 2-minute max Loom Video on the following page."Along with your application, I want to hear about the most exceptional product you've built. Include a Loom video walking me through the product, the code and explain the most significant challenge you faced when working on it."Salary - $40,000USD We’re hiring an AI / Machine Learning Engineer to join a fast-growing financial data & technology company building AI-powered products used by banks, fintechs, and trading platforms globally.This role sits at the intersection of machine learning, backend engineering, and real-time data systems, with a strong focus on production-grade AI.💡 What you’ll be working onYou’ll be building systems that turn real-time financial data into actionable insights, leveraging modern ML and LLM capabilities.🔧 Key ResponsibilitiesAI / Machine LearningResearch, design, and deploy ML models across NLP, time-series forecasting, and event detectionBuild LLM-driven systems (summarization, RAG pipelines, embedding search)Develop model serving APIs and scalable inference layers (Python / Go)Implement monitoring, drift detection, and retraining pipelinesWork with financial text (earnings calls, filings, news) to extract structured insightsPartner with data teams on training datasets, feature stores, and embeddingsBackend & InfrastructureBuild high-performance Python / Go microservices supporting AI systemsDesign and optimize real-time inference pipelines on AWS (EKS, ECS, S3, Lambda)Ensure low-latency, scalable, fault-tolerant systemsImplement CI/CD for ML workflows (containerization, deployment, versioning)Collaborate with DevOps on infrastructure + observability🧠 Required Experience4+ years in AI/ML or data engineering, with production deploymentsDegree in Computer Science (or similar)Strong in Python (ML/data) and Go (backend/microservices)Experience with PyTorch, TensorFlow, or Hugging FaceUnderstanding of transformers, embeddings, or LLM fine-tuningStrong grasp of data pipelines + ML lifecycleExperience with AWS (EKS, S3, Lambda, EC2)Comfortable working in distributed / remote teams⭐ Nice to HaveStartup experienceFintech / financial data exposureExperience building LLM APIs or RAG systemsKnowledge of vector databases (Pinecone, Weaviate, FAISS, OpenSearch kNN)Experience with Kafka / streaming systemsExposure to MLOps tools (MLflow, Airflow, SageMaker, etc.)Open-source contributions (ML or Go)⚙️ Tech StackLanguages: Python, GoML: PyTorch, TensorFlow, Hugging Face, LangChainCloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)Infra: Docker, KubernetesData: Kafka, Postgres, OpenSearchCI/CD: GitHub Actions, GitLab CIMonitoring: Datadog, Prometheus, Grafana🌍 DetailsRemote (EU / US overlap preferred)Full-time contractor (40+ hours/week)Competitive, flexible compensationTarget start: ASAP