Data Science Solutions Architect
1 day ago
Company Overview:
Tiger Analytics is a leading provider of advanced analytics services, working with Fortune 500 companies to deliver business value through data-driven insights. We have a strong track record of innovation and collaboration with our clients, leveraging cutting-edge technologies like machine learning and AI to drive business outcomes.
Job Description:
The Machine Learning Engineer will play a key role in our team, collaborating with Data Engineers, Data Scientists, and Business Partners to design, develop, and deploy scalable machine learning solutions. This role requires a strong technical background in machine learning and AI, as well as excellent communication and teamwork skills.
Responsibilities:
* Develop and deploy scalable machine learning architectures that meet client requirements
* Collaborate with Data Engineers to build data pipelines and deploy machine learning models
* Work with Data Scientists to develop and train machine learning models
* Troubleshoot production machine learning model issues and provide recommendations for improvement
Requirements:
* Bachelor's degree or higher in computer science or related, with 5+ years of work experience
* Strong background in machine learning and AI, including hands-on experience with deep learning frameworks like Scikitlearn, Tensorflow, and Keras
* Experience with cloud environments, including AWS SageMaker and Google Cloud AI Platform
Estimated Salary: $180,000 - $250,000 per year, depending on location and experience.
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