AI & ML body leasing (Artificial Intelligence & Machine Learning contracting) at Commoditech is immediate access to leading engineers specializing in language model deployments (LLMs), semantic search systems (RAG), and cloud AI platforms (Google Cloud Vertex AI, AWS Bedrock, Azure AI).
Why hire AI and ML engineers at Commoditech?
Artificial Intelligence is revolutionizing business processes. Implementing solutions based on GPT, Claude, or Gemini models requires unique competencies combining data engineering, MLOps, and cloud knowledge. Commoditech delivers experts who successfully execute AI projects:
- Implementing RAG (Retrieval-Augmented Generation) systems: We design and deploy secure RAG systems allowing language models to precisely search internal company knowledge bases (PDFs, wikis, SQL databases) using vector databases (Qdrant, Pinecone, Chroma).
- Language Model (LLM) Integration: We connect applications with commercial APIs (OpenAI, Anthropic, Google Gemini) and deploy optimized open-source models (Llama 3, Mistral, Polish model Bielik) on customer infrastructure.
- Google Cloud Vertex AI Cloud Architecture: We specialize in leveraging the full potential of Google Cloud (GCP), including Vertex AI, BigQuery, Google Kubernetes Engine (GKE), and Cloud Run to scale machine learning models.
- Complete MLOps Pipelines: We automate the lifecycle of AI models (MLflow, Kubeflow), ensuring continuous monitoring, testing, and secure deployment of data engineering.
When is AI engineer and Data Scientist leasing the best choice?
Hiring AI experts (AI Developers / Data Scientists) on contract avoids extremely expensive permanent recruitment in a rapidly changing technological landscape:
- Need to build a rapid Proof of Concept (PoC) or MVP based on generative AI.
- Need to integrate AI assistants (corporate chatbot) with sensitive internal enterprise data.
- Transitioning from the experimental phase of Machine Learning projects to stable production deployment (MLOps).
- Lack of advanced AI/ML knowledge and prompt engineering inside the current IT team.
Competencies of our AI/ML & Cloud Engineers
Our contractors and Python/AI developers operate in the following technology stack:
| Area of Specialization | Technologies, Frameworks, and Databases |
|---|---|
| Generative AI & LLM | GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3, Bielik, LangChain, LlamaIndex, Prompt Engineering |
| Vector Search & RAG | Qdrant, Pinecone, ChromaDB, pgvector, Elasticsearch, Hybrid Search |
| Google Cloud & Vertex AI | Google Cloud Platform (GCP), Vertex AI (Model Registry, Pipelines), BigQuery, Cloud Run, GKE |
| Classic ML & MLOps | Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Docker, Kubernetes, CI/CD pipelines |
Do you want to implement AI solutions in your organization?
Let's talk. We will help you select AI engineers and integrate advanced language models with your infrastructure.
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