> Markdown version of [/jobs/ext/214954-senior-ml-engineer](https://www.wearedevelopers.com/jobs/ext/214954-senior-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Engineer - **Company:** SmartAsset - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $137,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Private Networks, Amazon Web Services, Data Analysis, Encodings, Databases, Data Governance, Data Sharing, Relational Databases, DevOps, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Online Transaction Processing, Performance Tuning, Tensorflow, Software Engineering, WebSocket, Pytorch, System Availability, Large Language Models, Generative AI, Backend, Data Strategy, Fastapi, Kubernetes, Information Technology, Streamlit Framework, Terraform - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4f326fc2210a7954 ## About the Role Do you have experience in Writing skills?, Do you have a Master's degree?, * Proven experience as a ML Engineer with a strong focus on Python development * Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services * Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc * Experience with DevOps toolsets such as Terraform, Open-Telemetry, etc. will be a big plus * Strong experience in developing and maintaining large-scale, production-grade applications * Experience in writing clean, maintainable, and testable code following best practices and industry standards * Experience building integrations with internal and external service providers * At least 5 years of relevant working experience. * Bachelor's or Master's degree in Computer Science or a related field Skills/Experience preferred: * Excellent communication skills, both written and verbal * Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc. * Experience with LLMs, RAG, embedding vector databases, or agentic technologies. * Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio * Knowledge of data governance and structured data principles * Experience with Feature Stores or ELT processes Physical Requirements: * Prolonged periods of sitting at a desk and working on a computer * Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) ## Description We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life., * Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI * Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams * Work with OLTP databases, including schema design, migration strategies, and performance optimization * Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure * Ensure secure ingress and egress of data within our private network environments * Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time * Manage and optimize AWS services, including IAM roles and policies * Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure * Operate and maintain production applications at scale, ensuring high availability, performance, and reliability * Design and implement data collection pipelines specifically for Large Language Models (LLMs) * Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training * Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges * Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities * Rapidly prototype user interfaces for internal tools and data exploration, leveraging frameworks like Streamlit, Gradio, or other similar tools that facilitate quick iteration and integration without persistent websockets ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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