SENIOR AI AND MACHINE LEARNING
SPECIALISTS

Built for Production Ready AI Solutions.

Square Codex helps North American companies hire experienced nearshore AI and Machine Learning Specialists from Costa Rica and Latin America who can support real business use cases, build intelligent systems, and move AI initiatives from experimentation into production.

Our specialists can work across machine learning pipelines, generative AI applications, RAG architectures, embeddings, model evaluation, data workflows, cloud deployment, and responsible AI implementation.

WHAT OUR AI AND MACHINE LEARNING SPECIALISTS BRING

Production AI Expertise

Specialists who understand how to move AI models and intelligent applications beyond prototypes into reliable, measurable, and maintainable production environments.

Model and Data Integration

Professionals who can work with data pipelines, APIs, embeddings, vector search, model outputs, and business systems to make AI useful inside real workflows.

Nearshore Alignment

AI and Machine Learning talent from Costa Rica and Latin America working in compatible time zones with North American companies.

Responsible AI Delivery

We focus on practical AI adoption with attention to quality, evaluation, security, documentation, and human oversight.

AI AND MACHINE LEARNING TALENT FOR PRACTICAL BUSINESS USE CASES

Whether you need generative AI applications, machine learning models, RAG systems, automation support, recommendation engines, NLP workflows, or MLOps practices, Square Codex can help you identify the right senior AI and Machine Learning profile for your product and business goals.

PRODUCTION READY AI SPECIALISTS FOR MODERN SOFTWARE TEAMS

Our AI and Machine Learning Specialists are not only familiar with models and algorithms. They understand the engineering work required to turn AI into reliable software, including data preparation, model integration, API design, prompt workflows, evaluation, monitoring, and cloud deployment.

From Claude, OpenAI, GitHub Copilot, and cloud AI services to RAG pipelines, embeddings, vector databases, model serving, and MLOps workflows, our specialists know how to use modern AI tools without losing control of quality, security, explainability, or business context.

The result is an AI team that can help companies move faster, validate ideas with discipline, reduce implementation risk, and build intelligent systems that support real product and operational goals.

CORE AI AND MACHINE LEARNING CAPABILITIES FOR MODERN PRODUCT AND DATA TEAMS

Senior AI and Machine Learning Specialists are expected to do more than experiment with models. They help companies define useful AI use cases, prepare data, build model workflows, evaluate outputs, deploy systems, and maintain AI solutions inside real production environments.

Square Codex can help you find AI talent with experience across machine learning engineering, generative AI, RAG systems, vector databases, model evaluation, MLOps, cloud AI services, automation, and responsible AI implementation.

Machine Learning Engineering

Design, train, evaluate, and improve machine learning models for real business problems. This can include supervised learning, classification, prediction, recommendation systems, feature engineering, model validation, and integration with applications or data platforms.

Generative AI and LLM Applications

Build practical applications using large language models for content generation, knowledge search, workflow automation, summarization, support tools, internal assistants, and business process improvement. Senior specialists understand how to structure prompts, manage context, and connect models with real company data.

RAG, Embeddings and Vector Search

Support retrieval augmented generation systems that connect LLMs with documents, databases, knowledge bases, and internal content. This includes embeddings, vector databases, semantic search, retrieval quality, chunking strategies, context management, and answer validation.

MLOps and Model Deployment

Move models and AI workflows into production using repeatable processes for deployment, versioning, monitoring, model registry, experiment tracking, rollback planning, and performance validation. This helps AI systems become easier to maintain, audit, and improve over time.

Model Evaluation and Quality Control

Create evaluation workflows to measure model accuracy, reliability, hallucination risk, output quality, retrieval performance, and business usefulness. Senior AI specialists can help define test datasets, evaluation metrics, human review processes, and feedback loops for continuous improvement.

Responsible AI and Guardrails

Support safer AI adoption through privacy awareness, access control, prompt and output review, moderation, model behavior testing, security considerations, and human oversight. The goal is to make AI useful while reducing operational, reputational, and compliance risks.

How We Help You Hire Better

Understand the AI Use Case

We review your business goals, data readiness, product needs, current systems, AI expectations, and technical constraints before recommending talent.

Match for Technical Fit

We focus on senior AI and Machine Learning Specialists who align with your stack, data environment, model requirements, cloud platforms, and delivery goals.