| Lead Machine Learning || Atlanta, GA at Atlanta, Georgia, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1125092&uid= Passport Number is Mandatory Hi, Greetings From Ampstek !! We are a Global staffing firm and we are Tier 1 vendor for all requirements and we can close positions immediately. Please review our job opening below and kindly send us the updated resume ASAP along with the details of consultants; Please add [email protected] in your distribution list Position :: Lead Machine Learning Location :: Atlanta, GA Duration :: Contract Collaborate with data scientists, software engineers, and domain experts to understand business objectives and translate them into machine learning tasks. Develop and implement end-to-end machine learning pipelines, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment. Experiment with various machine learning algorithms and techniques to solve complex problems, such as classification, regression, clustering, and anomaly detection. Utilize tools and frameworks like TensorFlow, PyTorch, scikit-learn, and Keras to build, train, and evaluate machine learning models. Optimize machine learning models for performance, scalability, and efficiency, considering factors such as computational resources and real-time processing requirements. Conduct thorough testing and validation to ensure the robustness and reliability of machine learning solutions in diverse environments. Stay updated on the latest advancements in machine learning research and apply relevant techniques to enhance the capabilities of our systems. Collaborate with the engineering team to integrate machine learning components into production systems and monitor their performance in production environments. Document technical specifications, procedures, and best practices to facilitate knowledge sharing and ensure the reproducibility of results. Qualifications: Bachelor's or master's degree in computer science, engineering, mathematics, or a related field. PhD is a plus. Proven experience (X years) working as a Machine Learning Engineer or a similar role in a fast-paced environment. Strong proficiency in machine learning concepts and techniques, including supervised learning, unsupervised learning, reinforcement learning, and deep learning. Hands-on experience with popular machine learning libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras. Proficiency in programming languages such as Python, Java, or C++, along with experience with data manipulation and analysis using libraries like NumPy, Pandas, and Matplotlib. Solid understanding of software engineering principles, including object-oriented programming, data structures, and algorithms. Excellent problem-solving skills and the ability to think creatively to design innovative solutions to complex problems. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Experience with big data technologies (e.g., Apache Hadoop, Spark) and distributed computing is desirable. Thanks, and Regards Vijay Kumar (609) 360 2610 [email protected] See what's happening on our social sites Organization Name | 103 Carnegie Center Drive, , Suite 300, , Princeton, NJ 08540 Update Profile | Constant Contact Data Notice Sent by [email protected] powered by Try email marketing for free today! Keywords: cplusplus Georgia New Jersey http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1125092&uid= |
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| 12:14 AM 16-Feb-24 |