Senior Machine Learning Engineer

🕒 June 26

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Logo of Revionics, an Aptos Company

Revionics, an Aptos Company

51 - 200 employees

Founded 2002

🛒 Retail

🤖 Artificial Intelligence

☁️ SaaS

💰 Debt Financing - Revionics on 2016-08

Retail • Artificial Intelligence • SaaS

Revionics, an Aptos Company is an AI-driven pricing optimization provider that helps retailers optimize base pricing, promotions, and markdown strategies across the full pricing lifecycle. Its SaaS platform combines proprietary algorithms, advanced AI models, and retail analytics to localize prices, predict shopper responses, and improve financial outcomes. Revionics delivers strategic pricing services and implementation expertise to large retailers seeking data-driven price and promotion optimization.

📋 Description

• Designing, building, deploying, and evolving the end-to-end AI & ML systems • Initial focus on agentic capabilities, agent-to-agent (A2A) protocol, demand modeling and forecasting, optimization, product relationships • Building out new features on the Science roadmap • Working on full stack technology, from prototyping to production-ready software • Collaborating with product, engineers, and data scientists to translate ideas into new products, services and features • Exposing and evangelizing the Science team capabilities

🎯 Requirements

• Bachelor's/Master’s degree in a STEM field such as computer science • Proficiency in Python, SQL, and agentic frameworks such as ADK or LangChain • Proficiency with agentic development concepts such as Skills, Tools, Callbacks, code execution, token caching, compaction, multi-agent orchestration etc. • Experience exposing agentic systems using MCP or A2A frameworks • Experience working in cloud native environments like GCP (BQ, Cloud run, GKE etc) or AWS • Strong track record of developing and scaling AI/ML systems within software products and production systems • Broader software development skills (backend/frontend, data engineering, APIs, system design, etc.) • Experience building scalable agentic systems in production • Comfort with LLM-based development platforms such as Claude or Codex • Strong algorithmic problem-solving skills and an analytical mindset • Proactively security-conscious mindset • Experience with large scale, high-performance systems and full software development life-cycle experience (CI/CD etc.) • Enjoys tough technical challenges and is naturally intellectually curious • Seeks to drive change and influence others through clear and effective communication.

🏖️ Benefits

• industry-leading training and development opportunities • inclusive culture • competitive total rewards package • discretionary incentive compensation based on individual achievements

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