SmartAsset - Senior ML Engineer
Requirements
• 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 • 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 • 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)
Responsibilities
• 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
Benefits
• All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US. • Medical, Dental, Vision - multiple packages available based on your individualized needs • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available • Supplemental Short-term and Long-term Disability • FSA: Medical and Dependant Care • Equity packages for each role • Time Off: Vacation, Sick and Parental Leave • EAP (Employee Assistance Program) • Financial Literacy Mentoring Program
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