Aiml Solutions Engineer (mlops)

Job Summary

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 in 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 KPIsQualifications: 45 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 Bachelors degree in Computer Science or related field

Qualifications :

Required Qualifications

• 45 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
• Bachelors 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

Remote Work :

No

Employment Type :

Full-time

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