Beamteq is hiring an AI Engineer to ship intelligent features that combine trustworthy data pipelines, optimized models, and responsible guardrails.

What you'll do

• Build and maintain ML pipelines spanning data ingestion, feature engineering, training, and continuous evaluation.
• Optimize generative and predictive models for latency, cost, and safety while aligning with product KPIs.
• Embed responsible AI practices across experimentation, monitoring, and human in the loop review cycles.

What you'll bring

• 5+ years delivering machine learning or MLOps solutions in production environments.
• Proficiency with Python, deep learning frameworks, vector databases, and cloud AI services.
• Clear storytelling around model outcomes, risks, and roadmap trade offs for technical and business stakeholders.

Ready to apply? Email usa-dev@beamteq.com with your resume and recent project links.