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Machine Learning Engineer at Brooksource

Machine Learning Engineer

Brooksource

Cincinnati, OHmid1 day ago

Full Timeonsite1-3Years
$89,127/year

Job Description

Join our dynamic Data Science team as a Machine Learning Engineer, where your expertise will drive innovation and transform data into actionable insights. You’ll play a pivotal role in developing and implementing advanced machine learning models that empower our organization to leverage data like never before. This is your chance to make a significant impact in a fast-paced, remote environment. In your daily work, you will harness the power of AWS, Python, and Sagemaker to build robust machine learning solutions. You’ll engage in MLOps practices to streamline model deployment and ensure high-quality outputs. Your proficiency in SQL will help you manipulate and analyze data efficiently, transforming complex datasets into valuable insights. Collaborate with cross-functional teams to prototype and refine algorithms that enhance our data-driven decision-making. As part of a passionate and collaborative team, you’ll find ample opportunities for professional growth and skill enhancement. We encourage a culture of continuous learning, where you’ll have access to resources and mentorship that support your career ambitions. Your contributions will not only advance your own skills but also drive the team towards collective success. This role stands out because it not only allows you to work with cutting-edge technology but also empowers you to influence the strategic direction of our machine learning initiatives. Be a part of something revolutionary and elevate your career to new heights!

Responsibilities

Design scalable machine learning models using Python and AWS to enhance data analysis. Build robust pipelines for data processing and model deployment with Sagemaker and MLOps. Lead cross-functional teams to innovate and implement advanced machine learning solutions. Architect data-driven applications leveraging SQL for efficient data retrieval and management. Drive continuous improvement by monitoring model performance and implementing optimizations. Collaborate with stakeholders to define project requirements and translate them into technical specifications.

Key Skills

AWS
20%
Python
20%
Machine Learning
20%
SQL
15%
Sagemaker
15%

Benefits

Competitive salary and comprehensive health benefits that prioritize your well-being. Generous health insurance plans, including dental and vision, keeping you and your family covered. Flexible work hours and remote options to support your work-life balance. Paid time off and wellness days to recharge and maintain your productivity. Opportunities for professional growth through workshops, courses, and certifications. Access to mentorship programs to elevate your career in the tech industry. Vibrant and inclusive company culture that fosters creativity and collaboration. Fun team events and perks that make every day at work exciting.

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