
Senior AI Solutions Architect
1 week ago
About the Role:
We are seeking an experienced ML Engineer to create, implement and deploy innovative AI-driven solutions that drive business success.
Key Responsibilities:
- Design, develop and deploy machine learning models (regression, classification, clustering, deep learning).
- Built data pipelines, feature engineering and training workflows to optimize model performance.
- Deployed models to production using cloud platforms ensuring seamless integration with existing systems.
- Monitored model performance, retrained and maintained production-ready systems for scalability and efficiency.
- Developed APIs and integrated ML solutions with enterprise applications for improved functionality.
- Staying up-to-date on ML/AI trends and contributing innovative solutions that meet evolving business needs.
- Collaborated with cross-functional teams to deliver scalable ML systems that drive measurable outcomes.
Requirements:
- Minimum 3+ years of experience in ML engineering or a related field.
- Strong proficiency in Python programming language; knowledge of Java/Scala/R is highly desirable.
- Expertise with popular ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Familiarity with databases and version control practices.
- Understanding of DevOps/MLOps best practices to ensure efficient model deployment and maintenance.
Demonstrate expertise in designing and developing effective ML solutions that drive business growth.
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