Senior Machine Learning Engineer

Role Description

The ML engineer role is responsible for designing, building, deploying, and evolving the end-to-end AI & ML systems at Revionics – agentic capabilities, agent-to-agent (A2A) protocol, demand modeling and forecasting, optimization, product relationships, etc. – with an initial focus on our agentic and A2A roadmap.

Qualifications

• 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.

Requirements

• Build out new features on our Science roadmap: Agentic AI as we introduce new capabilities to our agent such as product relationships, rules management, and scenario optimization; A2A communication protocol; predictive and decision-making AI as we build out our unified forecasting and optimization capabilities; and our push to modernize legacy features and functionality.
• Work on full stack technology, from prototyping to production-ready software.
• Work with product, other engineers, and data scientists to translate ideas into new products, services, and features.
• Expose and evangelize our Science team capabilities.

Nice to have

• Experience with modeling frameworks (e.g. Tensorflow, PyTorch, JAX).
• Experience with data orchestration tools such as Airflow.
• Exposure to on-the-fly code execution for large files.
• Experience with data analysis / data science.
• Ability to translate research work into practical proofs of concept.

We also look for

• Passion
• Initiative and a Pioneering Spirit
• Quality orientation
• Resourcefulness and application

Benefits

We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

Company Description

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice.