Chief Architect for Generative AI Solutions

1 day ago

Dindigul, Tamil Nadu, India beBeeDataEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Azure Data Engineer

We are seeking an experienced Data Engineer to lead and contribute to applied research in Generative AI.

The ideal candidate will collaborate with product and engineering teams to translate GenAI research into real-world use cases for various industries.

Key Responsibilities:

  • Lead applied research in Generative AI including LLMs, Vision-Language Models, VLMs, Multimodal AI, and Prompt Engineering.
  • Translate GenAI research into real-world use cases for industries like manufacturing, automotive, oil gas, and healthcare.
  • Conduct RD in Traditional AI domains such as Computer Vision object detection, segmentation, OCR, and Predictive Analytics RUL anomaly detection, forecasting.
  • Build and evaluate AI models using tools like PyTorch, TensorFlow, Hugging Face LangChain, OpenCV, Scikitlearn, etc.
  • Publish internal white papers, IP disclosures, and present research outcomes to leadership and stakeholders.

Required Skills Experience:

  • 7-12 years of hand-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.
  • Strong programming skills in Python and experience with notebook-based prototyping, REST APIs, and ML libraries.

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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