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15 hours ago
As a highly skilled and innovative data engineer, you will drive the research design and prototyping of AI-based solutions that push the boundaries of industrial applications, digital twins, and autonomous systems.
You will lead and contribute to applied research in Generative AI, including LLMs, Vision-Language Models, VLMs, Multimodal AI, and Prompt Engineering. You will collaborate with product and engineering teams to translate GenAI research into real-world use cases for industries like manufacturing, automotive, oil, gas, and healthcare.
The role involves conducting research in traditional AI domains such as Computer Vision, object detection, segmentation, OCR, and Predictive Analytics, RUL anomaly detection, forecasting. You will build and evaluate AI models using tools like PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, Scikit-learn, etc.
Key skills required include strong experience with LLMs, fine-tuning model evaluation, vector databases, and inference pipelines. Other key skills include deep expertise in at least one traditional domain, Computer Vision, or Predictive Modeling, experience deploying models in Edge Cloud MLOps pipelines, working with enterprise data platforms, strong programming skills in Python, and experience with notebook-based prototyping, REST APIs, and ML libraries.
- At least 7 years of hands-on experience in AIML RD, including minimum 2-3 years in GenAI.
- Strong experience with traditional AI domains such as Computer Vision and Predictive Modeling.
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