| Share Local Candidate With Product Based Company Exp || Machine Learning Engineer (Anomaly Detection) || Austin TX Sunnyvale CA (Onsite) at Austin, Texas, USA |
| Email: [email protected] |
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From: Aakash Gursahney, Innovyt [email protected] Reply to: [email protected] Dear Vendor, I hope this mail finds you well ! This is Aakash Gursahney and I represent Innovyt LLC., a leading IT staffing organization. I am part of a team responsible for catering major clients those are the world leaders in providing their specific services/solutions. I came across your resume from one of the job board and found your profile suitable for the below role. Please have a look at the below job description and if that matches with your skillset, please response with your updated resume. Title: Machine Learning Engineer (Anomaly Detection) Duration: 12+ Months Location: Austin TX Sunnyvale CA (Onsite) About the Role We are seeking a highly motivated and talented Machine Learning Engineer with a strong background in anomaly detection to join our growing AI/ML team. In this role, you will be responsible for developing and deploying cutting-edge machine learning models to identify and predict anomalous events across various domains within our business. You will work closely with data scientists, engineers, and product managers to solve challenging problems and deliver impactful solutions. Responsibilities Research, design, and develop advanced anomaly detection algorithms (e.g., isolation forests, one-class SVM, autoencoders, time series forecasting). Train and evaluate machine learning models on large and complex datasets. Develop and deploy real-time anomaly detection systems using scalable and efficient technologies. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Monitor model performance, identify areas for improvement, and continuously retrain and optimize models. Stay updated with the latest advancements in anomaly detection and machine learning research. Contribute to the development of best practices and guidelines for machine learning model development and deployment. Communicate technical concepts effectively to both technical and non-technical audiences. Qualifications ML Engineer with Marketing domain knowledge, good knowledge on statistics , regression & SARIMA models (Seasonal Autoregressive Integrated Moving Average) 8+ years of experience in developing and deploying machine learning models in production environments. Research, design, and develop advanced anomaly detection algorithms (e.g., isolation forests, one-class SVM,autoencoders, time series forecasting). Experience with cloud platforms (e.g., AWS, GCP). Proficiency in Python and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Master's in Computer Science, Statistics, Mathematics, or a related field. Strong understanding of anomaly detection techniques and algorithms. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication and collaboration skills. Strong analytical and problem-solving skills. Passion for machine learning and a strong desire to learn and grow. Nice to Have Experience with time series analysis and forecasting. Experience with deep learning models (e.g., recurrent neural networks, convolutional neural networks). Experience with MLOps practices (e.g., model monitoring, versioning, and deployment). Publications in top-tier machine learning conferences or journals. Thanks & Regards, Aakash Gursahney Senior Talent Acquisition Specialist [email protected] 813-807-3817 Ext 138 Innovyt LLC Keywords: artificial intelligence machine learning access management information technology California Texas Share Local Candidate With Product Based Company Exp || Machine Learning Engineer (Anomaly Detection) || Austin TX Sunnyvale CA (Onsite) [email protected] |
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| 11:29 PM 21-Jan-25 |