Machine Learning Engineer

Improving ML/AI capabilities through validation, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives is the objective of driving technical innovation.
Developing and executing machine learning models and algorithms to solve intricate problems
Evaluating and monitoring the performance of AI/ML models and making necessary improvements
Maintaining documentation of processes, models, and algorithms for future reference
Working with cross-functional teams to incorporate AI/ML solutions into various applications

Preferred Experience:

Skilled in the use of system design, development, and validation methodologies
Having a thorough grasp of pertinent regulations, standards, and best practices
Having knowledge of machine learning algorithms and frameworks (such as Tensor Flow and PyTorch)
Expertise in data analysis and modeling techniques
Skilled in creating and executing AI/ML models for system validation and optimization
Understanding AI/ML best practices and industry standards

Experience with AI/ML tools and libraries
Strong understanding of neural networks and deep learning techniques
Ability to work with large datasets and perform data preprocessing and feature engineering
Education
Bachelors or Master’s degree in electrical or computer engineering

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