| Machine Learning Researcher, Engineer // Hybrid at multiple location // NO H1b/OPT at Atlanta, Georgia, USA |
| Email: [email protected] |
| Please share resume on [email protected] Machine Learning Researcher, Engineer Hybrid On-site from day 1 in either of the locations: Atlanta, GA; Dallas, TX; Reston, VA; Arkansas; Sunnyvale, CA; or New Jersey 6 months Contract-to-Hire Top Skills' Details Master or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. 7+ years of experience in researching/scoping/testing scalable distributed machine learning systems. Research experience in algorithm development. Expertise in Python programming and machine learning libraries such as PyTorch, Scikit-learn, and Pandas. Strong understanding of time series models such as ARIMA, SARIMA, Prophet, and LSTM, and experience in building custom models. Experience with anomaly detection techniques Job Description- Fortune 1 retailer client is looking for talented Machine Learning Researcher to help build a new AI/ML engine to support internal platforms and power critical purchase and fulfillment flow The ideal candidate should have expertise in researching, developing, and testing machine learning models for time series data analysis, anomaly detection, forecasting, and autoscaling. The primary responsibilities include developing and implementing scalable algorithms and models to analyze enormous amounts of time series data, detect anomalies and forecast trends. Responsibilities: Develop and implement machine learning models and algorithms for time series data analysis, anomaly detection, forecasting, and autoscaling. Develop high quality and scalable distributed machine learning systems for ML pipelines (training, modelops, and hosting) and APIs. Work with large datasets, preprocess and clean the data, and perform exploratory data analysis to extract insights and patterns. Design and develop scalable and efficient algorithms and models that can handle enormous amounts of data and provide real-time results. Evaluate the performance of the models using appropriate metrics and fine-tune the parameters to improve accuracy and efficiency. Collaborate with other teams to integrate the models into production systems and continuously monitor and improve performance. Thanks, Ravikar Yadav | 1Point System LLC Fax: 803-832-7973 [email protected] 115 Stone Village Drive Suite C Fort Mill, SC 29708 LinkedIn ID : https://www.linkedin.com/in/ravikar-yadav-292b9b147/ An E-Verified company | An Equal Opportunity Employer -- Keywords: artificial intelligence machine learning information technology California Georgia Idaho South Carolina Texas Virginia |
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| Tue Oct 03 00:35:00 UTC 2023 |