Job Responsibilities:
Development of AI/ML models and workflow to apply advanced algorithms and machine learning
Enable team to run an automated design engine
Creates design standards and assurance processes for easily deployable and scalable models.
Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage
CI/CD Pipeline (Azure Devops/Git) integration as Code repository.
Minimum Qualifications (Experience and Skills)
5+ years of Data science experience
A strong software engineering background with emphasis on C/C++ or Python
1+ years of experience in AWS Sagemaker Services
Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security
Experience in debugging complex issues with a focus on object-oriented software design and development
Experience with optimization techniques and algorithms
Experience developing artificial neural networks and deep neural networks
Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams
Ability to communicate and document design work with clarity and completeness
Previous experience working on machine learning projects.
Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism
Preferred Qualifications
Programming Experience in Perl / Python / R / Matlab / Shell scripting
Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch
Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs
Knowledge of data management fundamentals and data storage principles
Knowledge of distributed systems as it pertains to data storage and computing
Knowledge of reinforcement learning techniques
Knowledge of evolutionary algorithms
AWS Certification
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