| Machine Learning Engineer Location Memphis TN Onsite and Hybrid at Memphis, Tennessee, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1307664&uid= From: Raji, Infinity Quest [email protected] Reply to: [email protected] Job Title: Machine Learning Engineer Location: Memphis, TN (Onsite -Hybrid) Duration: 12+ Months Visa: GC, USC Vendor/ Client: TCS/ Fedex Job Description Position Overview: We are seeking a highly skilled and experienced Machine Learning Engineer with expertise in handling both supervised and unsupervised datasets. The ideal candidate will possess a broad understanding of popular machine-learning algorithms and ensemble techniques, along with a proven track record of optimizing machine-learning models for real-world applications. In addition, the candidate should be proficient in visualizing and comparing algorithm results to derive meaningful insights. Responsibilities: 1. Develop and implement machine learning models for both supervised and unsupervised learning scenarios. 2. Work on a variety of datasets, ensuring data quality and preprocessing to extract meaningful features. 3. Utilize a wide range of machine learning algorithms and ensemble methods to create robust and accurate models. 4. Optimize machine learning models for performance, scalability, and efficiency. 5. Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions. 6. Create visualizations to effectively communicate and compare algorithm results, aiding in decision-making processes. 7. Evaluate the legitimacy of data sources and distinguish between valuable information and noise. 8. Stay abreast of industry trends and advancements in machine learning to contribute innovative solutions. Qualifications: 1. Master's or Ph.D. in Computer Science, Machine Learning, or a related field. 2. Proven experience in developing machine learning models for real-world applications. 3. Strong understanding of supervised and unsupervised learning techniques. 4. In-depth knowledge of a variety of machine learning algorithms and ensemble methods, with experience using SVMs, Random Forests, Linear Regression, KNN, Nave-Bayes, K-Means, PCA, NNs, RNNs, & CNNs. 5. Proficiency in optimizing machine learning models for performance and scalability, and familiarity with automated optimization algorithms. 6. Demonstrated experience in visualizing and comparing algorithm results. 7. Ability to assess the legitimacy of data sources and filter out noise. 8. Strong programming skills in languages such as Python, R, PySpark, Scala, or similar. 9. Excellent problem-solving and analytical skills. Keywords: rlang green card trade national Colorado Tennessee Machine Learning Engineer Location Memphis TN Onsite and Hybrid [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1307664&uid= |
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| 10:12 PM 12-Apr-24 |