Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When 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 American Express, 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 integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

American Express is seeking a Data/Applied ML Engineer for our Digital (Web & Mobile) Site Reliability Engineering (SRE) team in Bangalore. This role is critical for someone adept at applying existing machine learning models to enhance digital operations, including building a cloud-based data lake for telemetry and establishing comprehensive data pipelines. Your contributions will be key in driving efficiency and effectiveness in our service delivery and issue resolution processes.

Key Responsibilities:

• Optimize and apply existing machine learning models for anomaly detection to improve system reliability and performance.

• Construct and maintain a scalable cloud-based data lake for aggregating telemetry data (metrics, traces, logs).

• Develop robust data pipelines using Apache Spark for efficient data ingestion into the data lake.

• Design insightful visualizations for Service Level Objectives (SLOs), error budgets, and other key performance indicators using visualization technologies.

• Employ General AI and Natural Language Processing (NLP) techniques for analyzing card member incidents and facilitating automated solutions.

• Stay current with the latest developments in vector databases and Rapid Application Development (RAD) methodologies.

• Collaborate with various teams to ensure alignment of data solutions with business goals and SRE principles.

Scope of Impact/Influence

• System Reliability: Enhance the performance and stability of American Express's web and mobile platforms, critically impacting customer experience.

• Strategic Decisions: Provide data-driven insights to guide company strategies and adapt to market and customer needs.

• Innovation: Drive technological innovation in data handling and machine learning, influencing industry standards in financial technology.

• Cross-Team Collaboration:Collaborate with engineering, product, and business units, integrating data solutions company-wide.

• Mentorship: Mentor junior staff, shaping the team's technical expertise and approach.

• Customer Focus: Influence system designs to prioritize customer satisfaction and experience.

• Cultural Development: Contribute to a culture of innovation, collaboration, and continuous learning.

Education, Experience & Knowledge/Skills:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• At least 5 years of experience in data engineering, with a strong focus on cloud technologies and data analytics.

• Proven ability in applying machine learning, AI, and NLP.

• Experience with Apache Spark and managing cloud-based data lakes and pipelines.

• Proficiency in programming languages, particularly Java,

• Experience with data visualization technologies .

• Knowledge of vector databases and RAD methodologies.

• Excellent problem-solving skills and ability to adapt in a dynamic, fast-paced environment.

• Strong communication and collaboration skills, capable of working effectively across diverse teams.

High-performing Behaviors:

• Finds opportunities to adopt innovative technologies and enables business capabilities through innovation; Keeps up to date on current research and technology in the industry.

• Tries new approaches when problem solving, seeking ideas, or suggestions from others as appropriate; able to perform root cause analysis.

• Is clear when explaining ideas and concepts to others, communication is structured and easy to understand.

• Provides feedback that is clear and direct. Describes the impact of actions and checks for understanding.

• Sets and maintains high performance standards for self and others; holds self and other team members accountable for achieving results.

• Tries new things to reach challenging goals and persists until personal and team goals are achieved and commitments met.

• Manages multiple tasks effectively - progresses work in parallel.

• Looks for ways to make changes work rather than only identifying why change will not work.

• Makes suggestions for growing the effectiveness of changes.

• Shows willingness to learn new methods, procedures, or techniques.

• Handles problems and acts on own initiative without being prompted.

• Knows when to raise decisions and when to make on-the-spot decisions.

Qualifications

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

• 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.

Job: Technology

Primary Location: India-Karnataka-Bengaluru Urban

Other Locations: India-Haryana-Gurgaon

Schedule Full-time

Req ID: 24007511