About the role
How to Apply: Apply through the American Express application link. Work as an early-career engineer focused on understanding and building modern AI systems across model experimentation, inference, ev… Subscribe to Premium to view the full description and apply.
Responsibilities
- Experiment with LLMs and multimodal models.
- Build prototypes and production-quality components using Python and PyTorch.
- Run and optimize model inference using vLLM and similar runtimes.
- Measure and improve latency, throughput, batching, caching, GPU utilization, and memory usage.
- Build evaluation frameworks to analyze model quality and behavior.
- Work with embeddings, retrieval, reranking, structured generation, and agentic systems.
- Deploy model-backed services and troubleshoot them under realistic workloads.
- Read research papers and reproduce or test promising ideas.
- Design controlled experiments and analyze failures across data, model, software, and infrastructure.
- Document technical findings, including what worked, what failed, and why.
Requirements
- Strong Python skills.
- Working knowledge of PyTorch and modern neural-network architectures.
- Understanding of transformers, tokenization, 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 or willingness to learn model serving and inference.
- Understanding or willingness to learn continuous batching and KV caching.
- Understanding or willingness to learn quantization and throughput versus latency trade-offs.
- Understanding of GPU memory constraints, mixed precision, device placement, profiling, and out-of-memory debugging.
Benefits
- Competitive base salary.
- Bonus incentives.
- Financial well-being and retirement support.
- Comprehensive benefits depending on location.
- Flexible working model.
- Career development and training opportunities.
- Opportunity to work on modern AI and ML systems.
Required Skills
Frequently Asked Questions
What is the salary for Analyst - Data Science?
The listed salary for Analyst - Data Science at American Express is ₹10 - 15 LPA.
Where is this Analyst - Data Science role located?
This position is based in Gurugram, India (Hybrid).
What experience is required for Analyst - Data Science?
Candidates are expected to have 2023 - 2026 of experience for this role.
How do I apply for Analyst - Data Science at American Express?
Use the Apply button on this HireDoor job page to submit your application for Analyst - Data Science at American Express.
What are the key benefits for Analyst - Data Science?
Key benefits include: Competitive base salary.; Bonus incentives.; Financial well-being and retirement support.; Comprehensive benefits depending on location.; Flexible working model.; Career development and training opportunities.; Opportunity to work on modern AI and ML systems..
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