Sr. Machine Learning Engineer

About the role

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.

Responsibilities

• 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.

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.
• Broad 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.
• Sets a clear and effective communication style.

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.
• Broad 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.).

Skills

• Modeling frameworks (e.g. Tensorflow, PyTorch, JAX).
• Data orchestration tools such Airflow.
• On the fly code execution for large files.
• Data analysis / data science.
• Ability to translate research work into practical proofs of concept.

Benefits

• Competitive total rewards package including a base salary determined based on the role, experience, skill set, and location.
• Discretionary incentive compensation may be awarded in recognition of individual achievements and contributions.
• A range of benefits and programs to meet employee needs, based on eligibility.

Pay

The pay range for this position is between $120,000 - 170,000 plus Incentive Bonus. Starting salary may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience.