Senior Machine Learning Engineer / Data Science Tech Lead
Saint Paul, Minnesota, United States
Applications have closed
Design, develop and maintain software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.
Specific duties include:
- Lead technical execution for various data products with a diverse team and various stakeholders.
- Participate in architectural design meetings that cover Artificial Intelligence, Machine Learning, and Microservice frameworks.
- Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
- Develop and deploy cloud infrastructure and machine learning applications.
- Develop back-end micro services that work with AI team’s data aggregation and machine learning algorithms and develop API endpoints to serve company’s services to external clients.
- Confer with systems analysts, engineers, and product owner to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces.
- Store, retrieve, and manipulate data for analysis of system capabilities and requirements.
- Modify existing software to correct errors, adapt it to new hardware, or improve its performance.
Requirements
Requires Master’s Degree or equivalent in Computer Engineering or a related field.
Must have 24 months of experience with the following:
- Work with multiple stakeholders to design data driven products.
- Developing, deploying and maintaining modern scalable data science applications.
- Using microservices architecture, IaaC and APIs.
- Using Big Data, modern cloud development and agile processes.
- Python, Tensorflow, PyTorch, and sAWS Sagemaker.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Big Data Engineering Machine Learning Microservices Python PyTorch SageMaker TensorFlow
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