Data Science Analyst

American Express

. Experiment with LLMs and multimodal models .

Posted 9/18/2026full-timeGurugram • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong Python programming skills and proficiency in PyTorch for building and optimizing machine learning models. Capable of designing experiments, analyzing model performance, and deploying model-backed services in a production environment.

Highest-signal resume keywords

Python ProgrammingPyTorch ProficiencyModel Inference OptimizationAnalytical SkillsLinux and Docker Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPyTorchTransformersTokenisationEmbeddingsAttention MechanismsSamplingDecodingQuantisationProfiling

Soft Skills

Analytical ThinkingProblem-SolvingClear Documentation

Tools & Technologies

VLLMGitDockerAPIsCloud Infrastructure

Industry Keywords

Machine LearningNeural NetworksModel ServingContinuous BatchingGPU Utilisation

Tech Stack

Tools & technologies

CloudDockerLinuxPythonPyTorch

About the role

Key responsibilities & impact

Experiment with LLMs and multimodal models
Build prototypes and production-quality components in Python and PyTorch
Run and optimise model inference using tools such as vLLM
Measure and improve latency, throughput, batching, caching, GPU utilisation, and memory usage
Build evaluation frameworks to understand model quality and behaviour
Work with embeddings, retrieval, reranking, structured generation, and tool-using/agentic systems
Deploy model-backed services and troubleshoot them in realistic workloads
Read relevant research papers and reproduce or test promising ideas
Design controlled experiments and analyse failures across data, model, software, and infrastructure
Document findings clearly, including what worked, what failed, and why

Requirements

What you’ll need

Strong Python skills
Working knowledge of PyTorch and modern neural-network architectures
Understanding of transformers, tokenisation, embeddings, attention, sampling, and decoding
Ability to write maintainable software beyond notebooks
Comfortable working with Linux, Git, Docker, APIs, and basic cloud infrastructure
Strong analytical and debugging skills
Understanding of, or motivation to learn, model serving and inference
Understanding of, or motivation to learn, vLLM or similar runtimes
Understanding of, or motivation to learn, continuous batching and KV caching
Understanding of, or motivation to learn, quantisation
Understanding of, or motivation to learn, throughput vs latency trade-offs
Understanding of, or motivation to learn, GPU memory constraints
Understanding of, or motivation to learn, mixed precision and device placement
Understanding of, or motivation to learn, profiling and out-of-memory debugging
Understanding of, or motivation to learn, structured/constrained generation
Ability to explain what you built, why you built it that way, what you measured, what failed, and what you learned
A strong foundation in a quantitative discipline such as Computer Science, Mathematics, Statistics, Engineering, Physics, Operations Research, or a related field is preferred from top institutions in India
Ability to assess a new technical idea or research paper

Benefits

Comp & perks

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