ML Engineer

September 15, 2024

Apply Now

Receive Emails with Similar Jobs

The Planet Group

WebsiteLinkedInAll Job Openings

The Planet Group is a global provider of professional staffing and consulting services. Founded in 2009 and headquartered in Chicago, Illinois, the company offers a range of solutions including recruitment process outsourcing (RPO), managed services programs (MSP), and workforce consulting. The Planet Group focuses on matching clients with top talent and strategic insights, serving industries such as technology, energy, engineering, finance, healthcare, and digital marketing. Renowned for its efficiency and quality, The Planet Group has been recognized on the Inc. 5000 list as one of the fastest-growing private companies in the U. S. Its suite of services supports large organizations in managing their talent acquisition and contingent workforce while leveraging cutting-edge technology and industry expertise.

1001 - 5000 employees

Founded 2009

🎯 Recruitment

👥 HR Tech

💰 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.