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Ringside Talent

Ringside Talent

ringsidetalent.com

1 Job

64 Employees

About the Company

Ringside's Divisions: Information Technology: Contract, Contract to Hire and Direct Hire recruiting for Information Technology positions throughout the US. To learn more, visit https://ringsidetalent.com/practice-areas/ringside-technology/ Finance & Accounting: Direct Hire, Contract and Contract to Hire Recruiting for Finance & Accounting positions throughout the US. To learn more visit https://ringsidetalent.com/practice-areas/accounting-finance/ Executive Search - C-Suite recruiting for leadership positions reporting to CEO's, CFO's, CTO's and CHRO's. To learn more visit https://ringsidetalent.com/practice-areas/executive-search/

Listed Jobs

Company background Company brand
Company Name
Ringside Talent
Job Title
Machine Learning Engineer
Job Description
Job Title: Machine Learning Engineer Role Summary: Design, develop, and deploy predictive models and scalable ML solutions on large datasets, ensuring high performance and robust production monitoring. Expectations: - Execute full‑cycle ML projects from concept to production. - Collaborate with data scientists, engineers, and stakeholders to implement innovative analytics. - Maintain model quality, performance, and scalability. - Stay current with ML technologies, cloud services, and MLOps best practices. Key Responsibilities: - Build, train, and validate machine learning models for predictive analytics. - Optimize algorithms for speed, scalability, and resource efficiency. - Perform data preprocessing, feature engineering, and pipeline creation. - Deploy models to production environments and establish monitoring and retraining workflows. - Coordinate with cross‑functional teams to integrate ML solutions into products. Required Skills: - Proven experience in machine learning engineering and model deployment. - Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit‑learn. - Familiarity with big data tools (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). - Strong problem‑solving, analytical, and communication skills. - Knowledge of MLOps practices, CI/CD, and model versioning. Required Education & Certifications: - Bachelor’s (or higher) degree in Computer Science, Data Science, Machine Learning, or a related discipline. - Certifications in cloud ML services (e.g., AWS ML, Google Cloud ML, Azure AI) or MLOps are advantageous.
Cleveland, United states
On site
29-01-2026