Machine Learning Engineer

Must 10+ years of experience and banking Domain
Only USC OR GC

Responsibilities: 
• Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive and predictive modeling, with a focus on ML engineering. 
• Leverage a broad set of modern technologies – including Python, R, Scala, and SQL – to analyze and gain insights within large data sets. 
• Evaluate model design and performance and perform feature analysis and hyper tuning. Analyze model input data, assumptions, and overall methodology leveraging supervised/unsupervised machine learning algorithms. 
• Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling risk-informed decision making. 
• Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment. 
• Recognize potential issues and risks during project implementation and suggest mitigation strategies. 
• Perform other duties as assigned 

Desired Qualifications and Education Requirements: 
• Master’s degree in Statistics, Mathematics, Computer Science, Engineering or other related fields 
• Familiarity with Cloud computing environments such as Microsoft Azure. 
• Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch. 
• Familiar with project management concepts and frameworks, and tools such as ADO. 
• Communication Strategy and Management, Delivery Excellence and Requirements management