Senior Machine Learning (ML) Engineer - Freelance [Remote]

Position Details Job Type: Freelance, Contract Position (no agencies/C2C) Location: Remote – United States only Hourly Range: $80–$100/hr Estimated Duration: 40 hrs/week – Long term Braintrust Job ID: 8096 Opportunity Krazy Coupon Lady (KCL) is seeking a Senior Software Engineer to build software used by millions, focusing on large‑scale challenges within personalization and AI/ML. Responsibilities Develop deep user journey understanding; study information and business needs. Create infrastructure for large‑scale data ingest and cloud‑based machine learning. Enhance or improve business processes through integration or minimize its impact. Document solutions for knowledge sharing. Mentor early‑career engineers, provide support to Lead Engineers. Show urgency in completing work and perseverance in solving problems. Work both autonomously and collaboratively. Collaborate with Product Operations for project alignment and fulfill end‑user requirements. Identify and resolve system issues, exercise creative problem‑solving. About You Known for raising the bar in backend development with a passion for unifying data and building systems that scale from both an operational and an organizational perspective. Deep understanding of design, data structures, and algorithms. Strong opinions on SOA concepts, principles, and patterns, backed by lessons learned. Think like a product owner and are, at heart, very relationship‑driven and customer‑focused. A critical thinker who is transparent, kind, and seeks feedback for collaborative improvements. Enjoy tackling the really hard, impossible‑to‑figure‑out problems because a solution exists. Approach of looking for what’s possible is infectious, and enjoy bringing that energy to the room with teammates. Agile in temperament and discipline, flexible, and can switch tasks as priorities change. Intelligent in recent advancements in machine learning, AI, and shifts in the development landscape as a lifelong learner. Qualifications Top‑notch communicator with experience on highly collaborative, agile teams within a product‑oriented organization. Heavy focus on ML and AI aspects of engineering with specific experience in building, productizing, and monitoring pipelines for AI and ML. Experience with AWS platform architecture. Experience with containers/orchestration (Docker and Kubernetes preferred). Extensive knowledge of YAML, Swagger, OpenAPI, and integration of API pre and post flow using JavaScript. Experience with both traditional SQL relational databases, and document databases such as MongoDB. Certification in Cloud Development from AWS, Azure, or Google is a plus. Experience in re‑architecting monolithic systems into microservices, utilizing cloud vendor‑agnostic frameworks. 5+ years experience with microservices software architecture. 5+ years leading end‑to‑end design and development of scalable services to be consumed by the enterprise, including monitoring and production support. #J-18808-Ljbffr