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.