Senior AI Engineer I at American Express Company South Africa

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Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Natural Language Processing, Data Analytics, Python, Java, Scala, Hadoop, Spark, Tensorflow, PyTorch, Keras, Data Manipulation, APIs, Model Governance, Problem Solving, Data Analysis

Industry

Financial Services

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Job Responsibilities: Formulate business problems as technical data / engineering problem while ensuring key business drivers are captured in collaboration with product stakeholders. Collaborate across a team of engineers, scientist and data engineers to design, develop, test, and deploy machine learning/deep learning models and NLP based features Responsible for the end-to-end solution, from prototyping the models to offline experimentation to production level code that uses these models. Work with product engineering to ensure implement-ability of solutions. Deliver prototypes and production code based on need. Contribute to the product roadmap and planning Contribute to the improvement of our end-to-end platform, including design, development, implementation, testing and debugging Experiment with in-house and third party data sets to test hypotheses on relevance and value of data to business problems. Customize the latest available models in machine learning for various scenarios and integrate them in our product. Deployment of engineered models as APIs or batch for consumption. Participate in model review and governance process. Apply the latest advances in deep learning and machine learning to increase our current models’ performance Work on cross functional teams and collaborate with internal and external stakeholders Qualification: Work Experience: 5+ years of experience in Data Analytics and Machine Learning Engineering. Academic Bachelor degree in a technical field such as computer science, computer engineering or related field required. Advanced degree in Statistics, Machine Learning or Artificial Intelligence is preferred. Preferred Qualification: 5+ years working experience in machine learning, statistics, or natural language processing (or equivalent research experience) or MS/PGD in Machine Learning or a related technical discipline with 4+ year of work experience. Involved with research/experimentation activities with research activities as patent filling, community developments, collaboration etc. Expertise in machine learning spanning supervised and/or unsupervised learning methods and applying ML to real-world problems. Broad knowledge of ML techniques such as Time Series algorithms, Levenshtein distance fuzzy wuzzy algorithm ,Decision Tree Ensembles, Neural Networks, Clustering. Experience with BERT Transformer model will be plus. Familiar with Hadoop, Spark, Hive/Pig will be a plus. Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras Experience using machine learning libraries or platforms, including Tensorflow, Scikit-Learn, or MLFlow for production or commercial products Experience in Natural Language Processing. Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala Independent, self-driven person with a high sense of accountability Excellent problem solving and data analysis skills. Effective communication skills, both verbal and written, and a great team player Proficiency in designing & solving classification/prediction problems Proficiency in data manipulation using Spark or Python tools such as Pandas, NumPy etc. Awareness on Docker containerization and managing CI-CD pipeline. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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Responsibilities

The Senior AI Engineer I will formulate business problems as technical data problems and collaborate with a team to design, develop, test, and deploy machine learning models. They will be responsible for the end-to-end solution, from prototyping to production-level code, while contributing to the product roadmap and platform improvements.