Machine Learning Engineer

🤖 Senior MLOps Engineer (W2 Contract) – Financial Services 📍 Remote (US) | EST Hours (8 AM – 5 PM) 💼 Contract with Potential Conversion 🚫 No C2C | No Sponsorship 🚀 About the Role We’re hiring a Senior MLOps Engineer to join a high-impact Data Science Enablement (MLOps) team within a leading financial services organization. This is a hands-on, ownership-driven role where you’ll lead the deployment, scaling, and reliability of production ML systems, working closely with data scientists, product teams, and platform engineers. 🔑 What You’ll Do • Own end-to-end ML product delivery in production • Design and deploy scalable ML models and APIs • Build and optimize CI/CD pipelines (Jenkins preferred) • Improve monitoring, logging, and system performance • Collaborate across teams to enhance ML platform capabilities • Lead release management, testing, and production support • Mentor engineers and drive best practices in MLOps ✅ Must-Have Skills • 5+ years in MLOps / ML Engineering (production environment) • Strong Python and ML ecosystem experience • Expertise in: • Model deployment & API integration • AWS cloud services • Containerization & orchestration (Docker/Kubernetes) • CI/CD pipelines (Jenkins preferred) • Experience with real-time/low-latency systems (e.g., DynamoDB) • Strong troubleshooting, monitoring, and optimization skills • Ability to work independently and lead technical initiatives ⭐ Nice to Have • MLflow, model versioning & lifecycle management • Experience with GenAI / NLP / AutoML • Databricks or similar platforms • High-scale, real-time data product experience 🧠 Ideal Candidate A senior-level MLOps engineer who takes full ownership, thrives in ambiguity, and can bridge ML research with production engineering in a fast-paced financial environment. 🔄 Conversion Info • Strong potential to convert to full-time • If converted: must be open to 3 days onsite in: • Cincinnati, OH • Atlanta, GA • Alpharetta, GA