Senior Engineer - Data Analytics Solutions - Emerging Technologies

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Data Analytics Solutions - Emerging Technologies team is looking for a Senior Engineer that creates data solutions across a set of Emerging Technologies for Technology Risk and Information Security customers. If you are an innovative engineer who is looking to build products and services that target the Cyber Threat landscape using advanced data processing and analytics tools and techniques, then we have an opportunity for you!
Responsibilities:

• Design, develop, and deploy cutting-edge data products and applications using Emerging Technologies covering dashboards/user interface, APIs, data pipelines, data alerts, predictive analytics, machine learning algorithms and generative AI.
• Build platform capabilities for data processing, model versioning, training, tuning, serving, experimentation using Cloud Native Architecture
• Establish robust evaluation metrics to assess the effectiveness and efficiency of machine learning and generative models, iteratively improving their performance.
• Continuously improving the products through refactoring and optimization of our platform using cloud-native designs
• Cross-functional collaboration with peer technology and security customers to deliver high-impacting data products and solutions.
• Stay informed about the latest advancements in generative AI and machine learning, and actively experiment with novel approaches to stay ahead of the curve.
• Leading a culture of innovation using rapid prototype and experiment to deliver faster, optimal and safer AI products.

Requirements and Skills:
Over 4+ years of IT experience with focus on the following technologies/disciplines:

• Bachelor's degree in computer science, Statistics, Data Science, Engineering, Mathematics, or related fields; master's degree is preferred.
• Demonstrated ability to apply Emerging Technologies to business problems and to apply external thinking.
• Operational experience with machine learning algorithms and concepts such as feature engineering, regression analysis, clustering, decision trees, neural networks, recommendation engines, natural language processing, probabilistic models like Bayesian networks, Markov chain etc. required.
• Experience in operationalizing Generative-AI and Large Language Models (LLMs) based solutions.
• Experience in designing and implementing large scale platforms and frameworks to serve machine learning capabilities.
• Experience in the Cybersecurity or IT risk domain is preferred but not required.

Hands-on Experience with most of the following tools/frameworks/technologies:

• Orchestrate: Argo Workflow, Kubeflow Pipelines, ML Run, Triton Inference Server
• Container: Docker, Kubernetes
• Observability: Elasticsearch, Kibana, Prometheus
• Data Engineering tools and technologies: Hadoop, Hive, SQL, NoSQL, Spark, Dask, Apache NiFi, Apache Kafka
• CICD: Jenkins, XL Release
• Development languages/tools/libraries: Python, TensorFlow, PyTorch, Shell Scripting, Jupyter Notebooks, PyCharm, VS Studio, Vector databases
• Hands-on experience on Web Application and RESTful API development is a plus.
• Experience with any cloud-based provider like AWS, Azure, or Google cloud is a plus.

Qualifications
Salary Range: $110,000.00 to $190,000.00 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-related 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 base 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 all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site.
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.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, 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.
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