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