Found.dev
Role Highlights
Languages used
Python
SQL
Key skills
Deep Learning
Prompt Engineering
ML Ops
Vector Database
Knowledge Graphs
Semantic Search
Computer Science
Information Security
Stakeholder Management
foundation model
AI Engineer
LLMs
Generative AI
Multimodal
Machine Learning
BERT
T5
Whisper
RAG
RLHF
Backend
Inference
Asynchronous
Streaming
Operations
Statistics
Modelling
Regression
Clustering
Forecasting
Research
Transformers
Embeddings
API
Microservices
Cloud
Infrastructure
Tools, Libraries and Frameworks
HuggingFace
Vertex AI
GPT4o
Neo4j
AWS
DataBricks
MLFlow
OpenAI
SageMaker
Azure
GCP
Ruby On Rails
PyTorch
Tensorflow
Langchain
FastAPI
Description
The role involves leading a team of engineers to architect and deliver advanced large language model, agentic, and multimodal AI systems. The position focuses on designing and operationalizing generative AI pipelines that integrate various data types to drive business outcomes. Responsibilities include building production-grade retrieval-augmented generation systems and establishing robust operational workflows for model deployment. The lead engineer will also implement responsible AI practices, including bias detection and safety guardrails, to ensure secure and compliant operations. Furthermore, the role requires researching and evaluating advancements in generative modeling to maintain high performance and safety standards.
Required Qualifications and Skills
Candidates must possess a Master's or Bachelor's degree in Computer Science, AI, Machine Learning, or Engineering. The role requires significant hands-on experience leading complex generative AI or machine learning programs in production environments. Applicants need expert-level proficiency in designing and deploying large language model applications, agentic systems, and retrieval-augmented generation pipelines. Strong Python engineering skills, including asynchronous programming and API development, are necessary alongside a solid command of machine learning fundamentals and cloud AI infrastructure.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Mastercard
Size
38185
HQ
Purchase, US
Description
MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.
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