Machine Learning Engineer - Healthcare - Spencer Thomas Group

Position Overview:
Spencer Thomas Group (STG) is currently looking to add to our team of consultants under our Healthcare IT Practice.

Responsibilities:

• Shaping and developing new AI, Client, and other Data Science initiatives
• Act as the technical lead for machine learning, AI, and data engineering solutions and products
• Ability to integrate with various technologies and bring systems together
• Collaborate with peers across technology and business functions to define and develop new Machine Learning, AI, and Data Engineering Solutions and Operations Technical Responsibilities
• Collaborate closely with various hospital departments to rapidly prototype and integrate machine learning and AI models into technology products.
• You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms
• You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications
• You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and Client platform and products
• Design, build, and/or deliver Client models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Inform your Client infrastructure decisions using your understanding of Client modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
• Solve complex problems by writing and testing application code, developing and validating Client models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and Client applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized Client models at scale
• Construct optimized data pipelines to feed Client models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of Client models and application code
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the Client follows best practices in Responsible and Explainable AI
• Use programming languages like Python, C++, Scala, or Golang

Required Qualification(s):

• Bachelor's degree in computer science, electrical engineering, mathematics, or a similar field or comparable work experience
• 5+ years of experience in programming with at least 3 years of experience programming with Python, C++, Scala, or Golang
• At least 3 years of experience designing and building data-intensive solutions using distributed computing
• At least 2 years of on-the-job experience with an industry recognized Client frameworks (scikit-learn, PyTorch, Dask, Spark, Kubeflow, or TensorFlow)
• 2+ years of experience building, scaling, and optimizing Client systems
• 2+ years of experience with data gathering and preparation for Client models
• 2+ years of experience developing performant, resilient, and maintainable code
• Experience developing and deploying Client solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• Experience designing, implementing, and scaling complex data pipelines for Client models and evaluating their performance
• Candidate must be authorized to work in the U.S, now or in the future

Duration: This is a project-based consulting opportunity with an immediate start date and initial duration 3 - 6 months, and likely to extend.

Level of Effort: 40 hours per week

Working Hours: Central Standard Time, M - F, 8:30-5

About Us:
Spencer Thomas Group (STG) is a Professional Services firm that delivers comprehensive business solutions worldwide. Whether it's Global Payroll & Human Capital Management, Organizational Change Management, Enterprise Service Management, or Program and Project Management services, our human-centric methodology RightFIT, delivers extraordinary Customer and Employee digital experiences that advances business priorities.