Description

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 embarking on an exciting transformation on building the next generation customer first ecosystem for democratizing A.I./Machine Learning in Amex on the Cloud. You will be leading an energetic A.I./Machine Learning Platform Engineering team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Travel & Lifestyle, Marketing, etc.) to drive strategic planning and a cohesive set of technology solutions enabling Augmented Intelligence. This position provides an opportunity to solve very interesting problems, you will have significant leadership and influence on the evolution of our A.I./Machine Learning products.

Seeking a highly skilled and experienced Senior LLMOps/MLOps Engineer to join our cutting-edge SNG COE team. The ideal candidate will have deep expertise in managing and optimizing LLM (Large Language Model) pipelines, with a strong background in NLP, deep learning, Data engineering, Advance RAG (Retrieval-Augmented Generation) techniques, and the deployment of open-source GenAI/LLM models. This role requires mandatory experience with Google Cloud Platform (GCP) and expertise in productionizing GenAI applications for complex data systems

Role and Responsibilities

  • Lead the design, development, and implementation of LLMOps strategies to optimize the lifecycle of LLM models, including training, fine-tuning, deployment, and monitoring.

  • Collaborate with Data scientists and product teams to understand model requirements and translate them into efficient LLMOps workflows.

  • Apply advanced NLP techniques and deep learning models to solve complex language understanding tasks.

  • Develop, fine-tune, and deploy state-of-the-art NLP models (e.g., Transformers, BERT, GPT) for various applications.

  • Stay updated with the latest advancements in NLP and deep learning, ensuring the adoption of best practices and cutting-edge technologies

Implement advanced RAG concepts to improve the accuracy, relevance, and speed of LLM-based solutions.

Explore and implement novel methods for enhancing the retrieval and generation components of LLMs.

Foster and support the culture of innovation, ownership, accountability, and customer focus.

Participate actively and constructively in agile team meetings and application reviews.

Work directly with and learn from the business, product, and engineering leaders across the organization.

Deliver on team’s strategy and prioritizes initiatives.

Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking.

Accurate complete and update the documentation produced by engineering team.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science/Engineering, or a related field.

  • Experience: 10 years of experience in AI/ML, NLP/Deep learning,software engineering, with a focus on LLMOps, MLOps, or DevOps.

  • Technical Expertise:

  • Deep understanding of LLMs, NLP, and deep learning models, including fine-tuning, deployment, and optimization.

  • Proficiency in RAG techniques and the ability to implement advanced RAG concepts.

  • Experience with deploying and managing open-source models (e.g., GPT, BERT) in production environments.

  • Expertise in creating APIs and services using frameworks like Flask, FastAPI, or similar.

  • Mandatory experience with GCP and deploying GenAI applications for complex data systems.

  • Proven experience in creating pipelines for open-source LLM models and deploying them at scale.

  • Knowledge of containerization technologies (e.g., Docker, Kubernetes).

  • Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana).

  • Proven experience in scaling RAG pipelines and optimizing model performance in production environments.

  • Strong experience with data engineering tools and frameworks (e.g., Apache Spark, Kafka, Airflow).

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: Technologies

Primary Location: India-Karnataka-Bengaluru Urban

Other Locations: India-India-Bangalore

Schedule Full-time

Req ID: 24016093