Own the full ML lifecycle: scoping to deployment & monitoring.
Design and build Agentic AI systems with time-series & generative AI.
Develop models for forecasting, anomaly detection, and pattern recognition.
Build scalable data pipelines & ML systems for production.
Collaborate with Product, Engineering, and Algorithm teams to translate customer needs into solutions.
Partner with customers and stakeholders to identify data-driven opportunities.

🎯 Requirements

Bachelor's degree in Computer Science, Engineering, or related field.
4+ years of experience in Machine Learning, Applied AI, or related fields.
Proven ability to own end-to-end ML systems in production.
Strong experience in time-series modeling, forecasting, anomaly detection.
Hands-on Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
Familiarity with generative AI systems, including LLMs, embeddings (Langchain, LangGraph, DSPy).

🎁 Benefits

Stock options
Paid parental leave
Flex PTO

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot