Link Group is a company operating in the technology industry, focusing on the development of high-quality web applications. The company emphasizes creating intuitive user interfaces and robust backend services, particularly using technologies like React JS and Kotlin. Link Group values collaboration, as evidenced by its emphasis on teamwork with architects, designers, and cross-functional teams. The company is committed to improving user experience and interface design through iterative development and feedback, highlighting its dedication to innovation and quality in its products.

AI / ML Engineer Requirements Experience in ML/AI, including working with modern language models (LLMs) and vector search. Hands-on experience with Azure (OpenAI, Cognitive Search, Databricks, Data Factory, AKS/ACA). Python and popular ML libraries (transformers, PyTorch/TensorFlow, scikit-learn). Knowledge of data processing (ETL/ELT) and image/OCR processing. Responsibilities Build and maintain intelligent AI/ML systems on Azure. Create semantic indexes, embeddings, and data pipelines. Collaborate with backend, data, and frontend teams on model deployments. Ensure fast, accurate, and secure operation of AI systems.

AI / ML Engineer Requirements<ul>
<li>Experience in ML/AI, including working with modern language models (LLMs) and vector search.</li>
<li>Hands-on experience with Azure (OpenAI, Cognitive Search, Databricks, Data Factory, AKS/ACA).</li>
<li>Python and popular ML libraries (transformers, PyTorch/TensorFlow, scikit-learn).</li>
<li>Knowledge of data processing (ETL/ELT) and image/OCR processing.</li>
</ul> Responsibilities<ul>
<li>Build and maintain intelligent AI/ML systems on Azure.</li>
<li>Create semantic indexes, embeddings, and data pipelines.</li>
<li>Collaborate with backend, data, and frontend teams on model deployments.</li>
<li>Ensure fast, accurate, and secure operation of AI systems.</li>
</ul>

AI / ML Engineer

The job offer is for an AI/ML Engineer responsible for building and maintaining intelligent AI/ML systems on Azure, creating semantic indexes, embeddings, and data pipelines, and collaborating with various teams for model deployments.