[Work From Home] Machine Learning Engineers for Mechanical

Remote, USA Full-time
Our team is expanding! We have a new opening for a Machine Learning Engineers For Mechanical Engineering– Apply Now! Join our team in the heart of Remote and enjoy a dynamic work environment. This position requires a strong and diverse skillset in relevant areas to drive success. You can expect a salary of a competitive salary for this role, plus comprehensive benefits.   Job Summary American Airlines is seeking talented and motivated Machine Learning Engineers for Mechanical Engineering to join our team. This position offers both full-time and part-time opportunities with flexible schedules and a remote work environment. If you choose the part-time option, expect to work under 4 hours per day. We offer competitive salaries, comprehensive health and dental... benefits, paid training, and generous paid vacation time. Job Description As a Machine Learning Engineer specializing in Mechanical Engineering at American Airlines, you will be at the forefront of developing innovative solutions to optimize our mechanical systems and processes. Your work will involve leveraging machine learning techniques to analyze large datasets, identify patterns, and build predictive models that will enhance the efficiency, safety, and reliability of our operations. You will collaborate with a team of engineers and data scientists to design, implement, and maintain machine learning algorithms tailored to our mechanical engineering needs. Your role will also involve staying updated with the latest advancements in the field and contributing to the continuous improvement of our machine learning capabilities. Requirements • Bachelor’s degree in Mechanical Engineering, Computer Science, or a related field. • Proven experience in machine learning and data analysis. • Proficiency in programming languages such as Python, R, or Java. • Strong understanding of mechanical engineering principles. • Experience with machine learning frameworks like TensorFlow or PyTorch. • Excellent problem-solving skills and attention to detail. • Ability to work independently and as part of a team. Responsibilities • Develop and implement machine learning models to optimize mechanical systems. • Analyze large datasets to identify patterns and trends. • Collaborate with engineers and data scientists to integrate machine learning solutions. • Ensure the scalability and efficiency of machine learning algorithms. • Stay updated with the latest advancements in machine learning and mechanical engineering. • Conduct testing and validation of machine learning models. • Document methodologies, processes, and results for future reference. Benefits • Comprehensive health and dental insurance. • Paid training programs to enhance your skills. • Generous paid vacation time. • Flexible work schedules. • Remote work opportunities. • Retirement savings plans. • Employee discounts on American Airlines flights. Educational Qualifications • Bachelor’s degree in Mechanical Engineering, Computer Science, or a related field. A Master’s or Ph.D. is a plus. Experience • Minimum of 3 years of experience in machine learning and data analysis. • Experience in the mechanical engineering industry is highly desirable. Company Overview American Airlines is one of the largest airlines in the world, renowned for its commitment to innovation, safety, and customer satisfaction. We operate an extensive network of domestic and international flights, serving millions of passengers annually. Our team of dedicated professionals works tirelessly to ensure that every flight is a success. By joining American Airlines, you will be part of a dynamic and forward-thinking organization that values expertise, creativity, and collaboration. Apply now to become a part of our team and contribute to shaping the future of mechanical engineering through cutting-edge machine learning techniques! Apply Now Apply Job! Don't Hesitate, Apply!Don't worry if you don't meet every single requirement. We value a great attitude and a willingness to learn above all. Submit your application today! Apply tot his job
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