About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Key Responsibilities
Design, develop, and deploy AI/ML solutions leveraging Azure AI products (Azure ML Workspace, Cognitive Search, Data Lake Gen2, Blob Storage, etc.).
Build and maintain scalable machine learning models, including LLMs and OpenAI integrations, for predictive analytics, bug classification, and intelligent automation.
Train, fine-tune, and deploy models using Azure ML Workspace (CPU/GPU workloads, autoscale).
Integrate AI and ML solutions into automation workflows and CI/CD pipelines using Azure DevOps and Azure Functions.
Manage large-scale data storage and analytics using Azure Data Lake Gen2 and Blob Storage.
Implement secure access and troubleshooting using Azure Storage Explorer.
Develop and maintain structured/semi-structured metadata in Azure Database for PostgreSQL.
Enable fast candidate retrieval and semantic search using Azure Cognitive Search and AI Foundry.
Automate workflows and human-in-the-loop processes using Logic Apps.
Collaborate with cross-functional teams to define requirements and deliver impactful solutions.
Stay updated with Azure AI advancements, LLMs, and OpenAI technologies.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
3+ years of experience in AI/ML engineering, model training, and deployment on Azure.
Proficiency in Python; experience with SQL, C#, or JavaScript is a plus.
Hands-on experience with ML/DL frameworks (TensorFlow, Keras, Scikit-learn) and LLMs (OpenAI GPT, BERT, PaLM, Gemini).
Experience with Azure ML Workspace, Data Lake Gen2, Blob Storage, Cognitive Search, and Azure Functions.
Familiarity with CI/CD processes and tools (Azure DevOps, Jenkins, GitHub Actions).
Strong skills in data preprocessing, feature engineering, and building data pipelines.
Excellent collaboration and communication skills.
Top Skills
What We Do
Zero distance innovation for GenAI creators and industries
Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment
We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers.
We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases.
These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
