Mastering Data Engineering
3 days ago
We are seeking an experienced data engineering professional to lead research and development in Generative AI, Computer Vision, and Predictive Modeling.
The ideal candidate will drive the design and prototyping of AI-based solutions that push the boundaries of industrial applications, digital twins, and autonomous systems.
Key Responsibilities:- Conduct RD in Generative AI, including LLMs, 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.
- Build and evaluate AI models using tools like PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, Scikitlearn.
- 7-12 years of hands-on experience in AIML RD, including minimum 2-3 years in GenAI.
- Strong experience with 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).
- 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.
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