AI/ML Solutions Engineer (MLOps)

Design, build, and deploy AI/ML solutions that deliver measurable business value, using modern modeling, data pipelines, and MLOps practices, while collaborating with stakeholders to productionize AI responsibly.

Key Performance Indicators:

• Develop and deploy ML models reliably
• Improve model accuracy and performance
• Build scalable data and training pipelines
• Own MLOps monitoring and continuous delivery
• Deliver AI solutions meeting business KPIs

Qualifications:

• 4 5 years AI/ML engineering experience
• Proven experience deploying ML models to production
• Strong background in Python and ML frameworks
• Experience with data pipelines and feature engineering
• Bachelor s degree in Computer Science or related field

Python Machine Learning Deep Learning PyTorch or TensorFlow SQL and data modeling MLOps (Docker, CI/CD) Model monitoring and evaluation Problem-solving mindset Cross-functional collaboration Stakeholder communication

Qualifications:

• 4 5 years AI/ML engineering experience
• Proven experience deploying ML models to production
• Strong background in Python and ML frameworks
• Experience with data pipelines and feature engineering
• Bachelor s degree in Computer Science or related field

Python Machine Learning Deep Learning PyTorch or TensorFlow SQL and data modeling MLOps (Docker, CI/CD) Model monitoring and evaluation Problem-solving mindset Cross-functional collaboration Stakeholder communication