
Cloud AI Researcher
1 week ago
Azure Data Engineer with expertise in Generative AI, Computer Vision, and Predictive Modeling.
About Us:We are a leading provider of digital transformation, cloud computing, and data analytics services globally.
Key Responsibilities:Lead research in AI including LLMs, Vision-Language Models, Multimodal AI, and Prompt Engineering.
Collaborate with product teams to translate AI research into real-world use cases for industries like manufacturing, automotive, oil and gas, and healthcare.
Conduct R&D in Traditional AI domains such as Object Detection, Segmentation, OCR, and Predictive Analytics, Anomaly Detection, Forecasting.
Build and evaluate AI models using PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, Scikit-learn.
Publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders.
Required Skills Experience:- 7-12 years of hands-on experience in AIML RD including minimum 2-3 years in GenAI.
- Strong experience with LLMs fine-tuning model evaluation vector databases and inference pipelines.
- Deep expertise in at least one traditional domain Computer Vision eg CNNs YOLO Mask RCNN or Predictive Modeling eg time series survival models.
- Experience deploying models in Edge Cloud MLOps pipelines and working with enterprise data platforms.
- Knowledge of Agentic AI, Digital Twins, or Simulation-based learning.
- Experience in industrial AI domains eg smart factory quality inspection predictive maintenance.
- Exposure to generative vision models like Diffusion Models, GANs, or NeRFs.
Mandatory Skills: Apache Airflow, Apache Spark, Python, Azure Cosmos DB, Azure Data Factory, Azure IoT, Azure Synapse Analytics, Azure Data Lake, Databricks, AR_VR_MR
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