Data & AI Talent

Data & AI Talent That Turns Information into Advantage

The demand for data and AI professionals has never been higher — and the supply of genuinely experienced practitioners has never been more limited. Data engineers who can build reliable pipelines at scale, data scientists who move from exploration to production, ML engineers who can deploy and monitor models reliably — these professionals are rare, and finding them requires a recruiter who can tell them apart.

Matrix Softtek's Data & AI practice is staffed by recruiters who understand the modern data stack — from ingestion layers to feature stores, from dbt to Spark, from classical ML to large language models. We evaluate candidates on technical depth, not just buzzwords, so the professionals we present are the ones who will actually deliver results in your environment.

Data Engineering Talent

Pipeline builders, data architects, and lakehouse engineers who design and maintain scalable, reliable data infrastructure.

Machine Learning Engineers

ML engineers who operationalize models — building MLOps pipelines, real-time inference systems, and feature stores.

AI & LLM Practitioners

Prompt engineers, RAG architects, and AI product developers building with OpenAI, Anthropic, Hugging Face, and open-source LLMs.

BI & Analytics Professionals

BI developers, analytics engineers, and data analysts who build dashboards, models, and reports that inform decisions.

Whether you're building a data platform from scratch, scaling an existing analytics practice, or launching AI-powered product features, Matrix Softtek's Data & AI talent network has the professionals to help you execute. We staff across all experience levels and across contract, C2H, and direct hire models.

Roles & Tools We Cover

Our Data & AI practice spans the full modern data stack. Here are the most common roles and technologies we staff across our client base.

Data Engineering & Analytics

Data Engineers (Spark, Kafka, Airflow, dbt, Flink)

Analytics Engineers (dbt, Looker, Snowflake, BigQuery)

BI Developers (Power BI, Tableau, Looker, Qlik)

Data Architects & Platform Engineers

Data Science, ML & AI Engineering

Data Scientists (Python, R, scikit-learn, PyTorch, TensorFlow)

Machine Learning Engineers (MLOps, SageMaker, Vertex AI)

AI Engineers (LLMs, RAG, LangChain, vector databases)

NLP / Computer Vision Specialists

Data & AI Staffing FAQs

Common questions from clients building data and AI teams with Matrix Softtek.