Systems Integration Analyst

As a Machine Learning Engineer, your role will involve participating in research, design, implementation, and optimization of Machine learning Models. You will help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products. Your responsibilities will include: - Building data ingest and data transformation platform - Identifying transfer learning opportunities and new training datasets - Building AI models from scratch and helping 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 - Creating APIs and helping business customers put results of your AI models into operations You should have a Bachelor's degree in computer sciences or similar, hands-on programming experience working on enterprise products, and proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Additionally, you should have knowledge in Deep Learning/Machine learning, Artificial Intelligence, experience in building AI models using algorithms of Classification & Clustering techniques, expertise in visualizing and manipulating big datasets, and strong skills in MS SQL. You should also possess the acumen to take a complex problem and break it down to workable pieces, to code a solution, excellent verbal and written communication skills, ability to work in and define a fast-paced and team-focused environment, proven record of delivering and completing assigned projects and initiatives, ability to deploy large scale solutions to an enterprise estate, and strong interpersonal skills. Understanding of Revenue Cycle Management processes like Claims filing and adjudication is a plus.,