Senior Machine Learning Engineer / Data Science Tech Lead

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.

• 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.