ML Engineer

September 15

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The Planet Group

WebsiteLinkedInAll Job Openings

1001 - 5000

💰 Private Equity Round on 2018-01

Description

• Data Scientists create machine learning and artificial intelligence algorithms to solve business problems. • Cultivating skills in exploratory data analysis, data modeling, predictive modeling, AI/ML, and SQL. • Working with databases and cloud-based data science platforms. • Implementing AI/ML and predictive solutions for production deployment using agile processes and CI/CD principles. • Leading project teams and providing training and mentorship.

Requirements

• 5+ years’ relevant experience. • Experience performing analytics work by deriving insights from raw data with statistics, data mining, visualizations, and machine learning techniques. • Experience developing prediction models with an understanding of study design to reduce overfitting. • Experience applying artificial intelligence algorithms and APIs to business solutions. • Specialized in one or more advanced predictive modeling techniques. • Ability to write complex SQL queries and an advanced understanding of data concepts. • Experience building data pipelines that process structured and unstructured data. • Experience using cloud-based data science platforms such as Azure ML or AWS SageMaker. • Experience applying MLOps principles for continuous improvement of solutions. • Excellent verbal and written communication skills. • Experience leading project teams and mentoring junior team members.

Benefits

• Opportunities to work remote, in the office or hybrid. • Structured training and development programs centered around your individual needs. • Robust suite of tools at your disposal for impact and success. • Opportunities to move within the company across a variety of positions. • Celebrating differences and striving for diversity, equity, and inclusion. • Encouragement to unleash innovative, collaborative, and entrepreneurial spirits. • Strong camaraderie and having fun through various activities.