| Sr. Machine Learning Engineer::Irving TX Onsite (Hybrid) :: Contract at Irving, Texas, USA |
| Email: [email protected] |
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From: jaffar, ATVS [email protected] Reply to: [email protected] Hi veeru, We have a requirement Machine Learning Engineer and pls do find the job description below. Kindly share the profile. Job Description: Job Title: Sr. Machine Learning Engineer Location: Irving TX Onsite (Hybrid) Duration: 12 Months Need locals Responsibilities: Develop and implement machine learning models and algorithms for various applications such as image recognition, natural language processing, recommendation systems, and more. Preprocess and clean large datasets to ensure high data quality and suitability for machine learning. Perform feature engineering to extract relevant information and enhance model performance. Train, validate, and fine-tune machine learning models using appropriate techniques and algorithms. Evaluate model performance using relevant metrics and iterate on model design to improve results. Collaborate with cross-functional teams to integrate machine learning solutions into production systems. Deploy and monitor machine learning models in real-world environments, ensuring scalability and reliability. Stay up-to-date with the latest advancements in machine learning and related technologies to drive innovation within the team. Participate in code reviews, documentation, and knowledge sharing to maintain high engineering standards. Contribute to the development of best practices and standards for machine learning engineering within the organization. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Master's or Ph.D. in a relevant field is a plus. Strong proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, techniques, and best practices. Experience in data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms and tools for model deployment and monitoring. Excellent problem-solving skills and the ability to work on complex, open-ended problems. Strong communication skills to collaborate effectively with interdisciplinary teams. Prior experience with deploying machine learning models in production environments is a plus. A portfolio of projects showcasing your expertise in machine learning is highly desirable. Best Regards, Keywords: Texas |
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| 02:08 AM 02-Sep-23 |