Systems Integration Advisor
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About the job
Position General Duties and Tasks: • Participate in research, design, implementation, and optimization of Machine learning Models • Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products • Understanding of Revenue Cycle Management processes like Claims filing and adjudication • Hands-on experience in Python • Build data ingest and data transformation platform • Identify transfer learning opportunities and new training datasets • Build AI models from scratch and help product managers and stakeholders understand results • Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world • Verifying data quality, and/or ensuring it via data cleaning • Supervising the data acquisition process if more data is needed • Defining validation strategies • Defining the pre-processing or feature engineering to be done on a given dataset • Training models and tuning their hyperparameters • Analysing the errors of the model and designing strategies to overcome them • Deploying models to production • Create APIs and help business customers put results of your AI models into operations
Requirements
- Python
- ML algorithms
- Data transformation
- Data visualization
Qualifications
- Bachelor’s in computer sciences or similar
- 3+ years project Experience in Deep Learning/Machine learning
Preferred Technologies
- Python
- ML algorithms
- Data transformation
- Data visualization
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About the company
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.
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