AI Engineer | Data Scientist - (WFH) #34955

• Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints
• Translate product and customer requirements into production grade AI system designs
• Drive rapid iteration of deployment while maintaining system reliability and safety
• Participating in peer-reviews of solution designs and related code
• Working with teammates to dive efβiciencies to development procedures
• Analyzing and resolving technical problems
• Deβining standards for the platform to deliver AI solutions
• Balance learning-based approaches with deterministic or rules-based components where appropriate
• Support customer-facing and sales technical discussions when AI and platform expertise is required

Requirements:
• BS or above in Computer Science, Data Science, AI Engineering or technical equivalent.
• 3 to 5+ years in applied AL / ML solution development
• 3+ years Software Development experience using the Python ecosystem
• An agile self-starter with a software craftsmanship mindset and the ability to act on their own initiative and self-direct.
• Experience dealing with uncleaned real-world data.
• Experience working with domain experts to improve problem definitions, metric selection, and feature selection.
• Experience working with a globally distributed team in different time zones.

Advantageous Experience/Skills:

• 2+ years building agentic AI using common frameworks / MCP
• At least 1+ years developing RL agent/ LLMs & RAG/ anomaly prediction & forecasting solutions
• 2+ years IoT and Timeseries data manipulation
• 2+ years AWS cloud and/or Docker
• Proficiency with MLOps
• Digital twins, physical models / simulators, or model-based RL
• Experience using AI for industrial process control
• Working Knowledge of Test-Driven Development
• Working knowledge of SOC2 & ISO 27001 standards
• Experience working in the water industry
• AI certifications