
Data Engineer For AI Solutions
2 weeks ago
About our data engineering team : Our mission is to drive digital transformation, cloud computing, and data analytics services.
The ideal candidate will lead the research, design, and prototyping of AI-based solutions that push the boundaries of industrial applications, digital twins, and autonomous systems.
Key Responsibilities:
- Contribute to applied research in Generative AI, including LLMs, Vision-Language Models, VLMs, Multimodal AI, and Prompt Engineering
- Collaborate with product and engineering teams to translate GenAI research into real-world use cases for industries like manufacturing, automotive, oil & gas, and healthcare
- Develop RD in Traditional AI domains, such as Computer Vision, object detection, segmentation, OCR, and Predictive Analytics, RUL anomaly detection, forecasting
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 (e.g., CNNs, YOLO, Mask RCNN) or Predictive Modeling (e.g., time series survival models)
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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