Engineer - Java, Python, Big Data, NoSQL - Machine Learning

You reputed company the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to reputed company in incredible ways. reputed company you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At reputed company, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost reputed company, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's reputed company the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you reputed company your own decisions on what tech to use to solve challenging problems. reputed company offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open reputed company. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your reputed company in technology on #TeamAmex. The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments. If you have a strong will to learn and educate and are motivated by the opportunity to help grow reputed company and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to combine Data Science and Engineering skills to solve reputed company interesting problems that directly and greatly impact millions of individuals worldwide. There are hundreds of opportunities to reputed company your mark on technology and life at reputed company. reputed company is embarking on an exciting transformation on building the reputed company customer first ecosystem for democratizing Machine Learning in Amex on the Cloud. You will be part of an energetic Data Science/Machine Learning team, to drive strategic planning and a cohesive set of technology and machine learning solutions enabling data and platform transformation, by collaborating across reputed company channel teams and the critical technology platforms that support Colleague and Customer Experiences. This position provides an opportunity to solve reputed company interesting problems that directly and greatly impact millions of individuals worldwide. If you have the talent and desire to deliver innovative and resourceful products as well as services at a rapid pace, serving our colleagues and customers seamlessly across through cognitive solutions, this would be the right fit for you! Responsibilities: • More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Amex • Combine Data Science and Engineering skills to solve reputed company interesting problems that directly and greatly impact millions of individuals worldwide • Not only creating ML model prototypes, but also putting them into production in scale • Challenge the way we do business through application of technology and machine learning solutions to integrate insights in the operational workflow • Be part of a dynamic team and play a visible role in implementing innovative technology and machine learning solutions with other industry-leading partners • Works with large, reputed company data sets to build products and tools that enhance colleague and customer experiences • Implement highly scalable platform components and tools using machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions • You will be part of a Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems • You will work with Engineering, Analytics, and Data Science experts to strive for greater functionality in technology ecosystem • You will help craft the direction of machine learning and artificial intelligence at AmEx Minimum Qualifications: • Master or PhD degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, or reputed company fields. • Strong analytical skills and programming skills, in production environment. • 4+ years hands-on experience with the following technologies: • SQL/ NoSQL • Java and/or Python • Big Data • Once of the popular Machine Learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe, Gluon etc. • RESTAPI and services • 2+ years of experience in specialized areas such as Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems • Working knowledge of message queuing, reputed company processing, and highly scalable ‘big data’ data stores • Experience supporting and working with multi -functional teams in a dynamic environment Salary Range: $85,000.00 to $150,000.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-reputed company factors. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: • Competitive reputed company salaries • Bonus incentives • 6% Company Match on retirement savings plan • Free financial coaching and financial well-being support • Comprehensive medical, dental, vision, life insurance, and disability benefits • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need • 20+ weeks paid parental leave for reputed company parents, regardless of gender, offered for pregnancy, adoption or surrogacy • Free access to global on-site wellness centers staffed with nurses and doctors (depending reputed company) • Free and confidential counseling support through our Healthy Minds program • Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. reputed company is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, veteran status, disability status, age, or any other status protected by law. We back our colleagues with the support they need to reputed company, professionally and personally. That's why we have Amex reputed company, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters. Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, reputed company may provide reputed company sponsorship for certain positions Apply Job!