| Machine Learning Engineer - GC & USC at Dallas, Texas, USA |
| Email: [email protected] |
| From: Vijaykant Tyagi, Largeton [email protected] Reply to: [email protected] Machine Learning Engineer Location: Dallas, TX Onsite from day 1 Rate $ 55/HR C2C Photon USC,GC,GC-EAD,OPT-EAD. Responsibilities The Machine Learning Engineer/Scientist will play a key role in developing and implementing machine learning models and algorithms to address complex business challenges. The ideal candidate will have a strong background in machine learning, data analysis, and programming, along with excellent problem-solving and communication skills. RESPONSIBILITIES: Acquire and preprocess large datasets for analysis and model training. Design, develop, and implement machine learning models. Create data pipeline and data flow Collaborate with cross-functional teams to understand data requirements and objectives Evaluate and experiment with different models to optimize performance Extract relevant features from structured and unstructured data Identify and create new features to enhance model accuracy and efficiency. Implement validation strategies to ensure model generalization and robustness Develop and implement monitoring solutions to track model performance over time. REQUIRED SKILLS Proficient in programming languages such as Python, R, or Java. Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries. Experience in Cloud platforms AWS or CGP Excellent problem-solving and analytical skills. REQUIRED EDUCATION/EXPERIENCE Bachelors or Master's. in Computer Science, Machine Learning, Statistics, or a related field. 7+ years of experience in the IT field Experience with natural language processing (NLP) or Deep Learning is a big plus Vijay Tyagi Talent Acquisition Specialist - [email protected] - www.linkedin.com/in/vijay-tyagi-389849240 LARGETON INC. 13800 Coppermine Rd, Herndon, VA 20171 Keywords: rlang information technology green card Texas Virginia |
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| Wed Jan 17 03:56:00 UTC 2024 |