Senior Machine Learning Engineer (Agentic AI)

TL;DR

Senior Machine Learning Engineer (Agentic AI): Designing and deploying intelligent agentic systems for industrial operations with an accent on time-series modeling, generative AI, and signal processing. Focus on building end-to-end ML pipelines that turn complex industrial sensor data into actionable operational intelligence.

Company

hirify.global is a leader in Machine Health and Process Health solutions using purpose-built AI technology to help industrial manufacturers optimize their production.

What you will do

• Own the full machine learning lifecycle from problem scoping and data exploration to production deployment and monitoring.
• Design and build Agentic AI systems combining time-series modeling, signal processing, and generative AI (LLMs, embeddings, and orchestration frameworks).
• Develop ML models for forecasting, anomaly detection, and pattern recognition using industrial sensor data.
• Build scalable data pipelines and ML systems that operate reliably in production environments.
• Collaborate with Product, Engineering, and Algorithm teams to translate customer needs into technical implementations.
• Implement robust evaluation, monitoring, and drift detection systems for live Agentic applications.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 4+ years of experience in Machine Learning, Applied AI, or related fields.
• Proven ability to deliver end-to-end ML systems in production environments.
• Strong experience in time-series modeling, forecasting, anomaly detection, and feature engineering.
• Hands-on proficiency with Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with generative AI systems, including LLMs, embeddings, and agent-based architectures (e.g., Langchain, LangGraph, DSPy).

Nice to have

• Experience in industrial AI, IoT, predictive maintenance, or manufacturing systems.
• Exposure to digital twins, context graphs, or knowledge graph-based systems.
• Familiarity with modern data platforms like Databricks, BigQuery, or Snowflake.
• Understanding of optimization frameworks such as Pyomo, Gurobi, or OR-Tools.
• Experience working with large-scale distributed data systems.

Culture & Benefits

• Stock options.
• Paid parental leave.
• Flex PTO.
• Inclusive, people-first organizational culture focused on diversity and authenticity.