AI Data Scientist

Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!

We are looking for an AI Applied Scientist / Data Scientist to join our growing team in Mexico or Argentina!

Role - AI Applied Scientist / Data Scientist

Location - Remote (Mexico/Argentina)

We are seeking an exceptional and highly motivated AI Applied Scientist to join our AI Applied Science Content team. In this role, you will be at the forefront of Document Understanding, designing and implementing AI-Native agentic systems to unlock insights from billions of historical and genealogical records. The work will focus onbuilding autonomous, multi-agent workflows capable of complex reasoning, tool use, analysis, and self-correction. Your work will directly enable customers to discover and connect with their family history by transforming unstructured documents into structured, searchable knowledge.

What You Will Do

• Innovate with State-of-the-Art AI: Implement cutting-edge AI solutions for key.

Document Understanding tasks such as OCR/HTR, transcription, Named Entity Recognition (NER), Relation Extraction (RE), Coreference Resolution,Summarization, and Knowledge Graphs working with diverse genealogical andhistorical collections spanning newspapers, city directories, family history books,and vital records (i.e., birth, marriage, & death records).

• Architect Agentic Systems: Design and implement multi-agent workflows usingframeworks like LangChain, LangGraph, CrewAI, AutoGen, AgentCore, Strands,Google ADK, A2A, etc. to automate complex multi-step reasoning tasks inhistorical document analysis and information extraction.
• Analyze and Optimize Multi-Modal Models: Evaluate the performance of multi-modal models such as Gemini, Claude, GPT, and Qwen for zero-shot and few-shot scenarios in comprehensive document understanding.
• Natural Language Processing (NLP): NER, Relation Extraction, CoreferenceResolution, Entity Resolution, Knowledge Graphs (Neo4j), spaCy, NLTK, BERT.
• Computer Vision (CV): Apply expertise using models like YOLO, Nougat,DONUT, OpenCV, etc. to perform layout analysis, identifying text blocks,headers, tables, and deeply nested lists.
• Evaluation & Observability: Establish ensemble models and "LLM-as-a-Judge"frameworks, and use tools like Arize Phoenix, DeepEval, or RAGAS to monitorfor hallucination, drift, and bias.
• Development Productivity: Familiarity with "AI coding" workflows and usageof AI coding assistants such as Amazon Q, Cursor, Claude Code, and Kiro toaccelerate development cycles.
• Collaborate on Cloud Deployment: Partner with ML Ops to deploy datasets,models, and pipelines in cloud environments like AWS (S3, SageMaker,Bedrock, ECS, EKS) and GCP (Vertex AI, Gemini API).

Who You Are

• Experienced (MS or PhD preferred) in Computer Science, Data Science,Statistics, Mathematics, Linguistics, Engineering or related quantitative field witha strong data focus.
• Specialization in AI & LLMs including familiarity with foundational models such asGPT, Gemini, Qwen, Llama, Claude, etc.
• Experience with inference optimization, vLLM, LoRA, QLoRA, quantization, etc.
• Familiar with embeddings, vector databases, transformer models, with softwaredevelopment experience.
• Strong proficiency in Python and relevant tools and libraries, includingtransformer models, multi-modal models.
• Familiarity with cloud platforms and related AI/ML services such as Google CloudPlatform, GCP, Gemini API, Vertex AI, AWS EC2, S3, SageMaker, ModelRegistry, and Bedrock is a plus.
• ML/LLM/system experience - particular in content information extraction
• Ability to clearly present complex technical solutions to both technical and non-technical stakeholders.

Why Qualitest?

• Be a part of a company who strives to support for diversity and inclusion in the workplace – we are one, we are many at Qualitest. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
• Local and global opportunities – we offer you internal rotation and international mobility opportunities to grow your career.
• Clear view of your career and progression with the company – Qualitest is growing massively (since Jan 2021 – added more than 2000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
• Never stop experimenting and learning with Qualitest Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more
• Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn – tap your network for net-worth.

If you like what you have read, send us your resume and let’s start talking!

Intrigued to find more about us?

Visit our website at https://www.qualitestgroup.com

Check out our Career page: https://www.qualitestgroup.com/careers