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