Ringside Talent Acquisition Partners
We are looking for a
Machine Learning Engineer
to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below. Role Overview
As a Machine Learning Engineer, you will design, develop, and deploy machine learning models to solve complex business problems. This onsite role in Cleveland, OH requires strong programming skills, experience with ML frameworks, and the ability to work with large datasets. Responsibilities
Design and implement machine learning models for predictive analytics and automation. Optimize algorithms for performance and scalability. Work with large datasets, performing data preprocessing and feature engineering. Deploy models into production environments and monitor performance. Collaborate with data scientists, engineers, and business stakeholders. Stay current with emerging ML technologies and best practices. Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Proven experience in machine learning engineering and model deployment. Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with big data tools and cloud platforms (AWS, Azure, or GCP). Excellent problem-solving and communication skills. What Our Client Offers
Onsite role in Cleveland, OH with high visibility. Opportunity to work on cutting-edge ML projects. Professional development and growth opportunities. Comprehensive benefits and performance incentives.
#J-18808-Ljbffr
Machine Learning Engineer
to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below. Role Overview
As a Machine Learning Engineer, you will design, develop, and deploy machine learning models to solve complex business problems. This onsite role in Cleveland, OH requires strong programming skills, experience with ML frameworks, and the ability to work with large datasets. Responsibilities
Design and implement machine learning models for predictive analytics and automation. Optimize algorithms for performance and scalability. Work with large datasets, performing data preprocessing and feature engineering. Deploy models into production environments and monitor performance. Collaborate with data scientists, engineers, and business stakeholders. Stay current with emerging ML technologies and best practices. Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Proven experience in machine learning engineering and model deployment. Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with big data tools and cloud platforms (AWS, Azure, or GCP). Excellent problem-solving and communication skills. What Our Client Offers
Onsite role in Cleveland, OH with high visibility. Opportunity to work on cutting-edge ML projects. Professional development and growth opportunities. Comprehensive benefits and performance incentives.
#J-18808-Ljbffr