
Expert AI Researcher
14 hours ago
We are seeking a highly skilled AI Research and Development Expert to lead and contribute to applied research in Generative AI, including LLMs, Vision-Language Models, Multimodal AI, and Prompt Engineering.
- Lead and contribute to applied research in Generative AI, including LLMs, Vision-Language Models, 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.
- Conduct R&D in traditional AI domains such as Computer Vision, object detection, segmentation, OCR, and Predictive Analytics, RUL anomaly detection, forecasting.
We are looking for a strong expert in at least one traditional domain, such as Computer Vision or Predictive Modeling. Your experience should include minimum 7-12 years of hands-on experience in AI/Machine Learning R&D, including minimum 2-3 years in Generative AI.
The ideal candidate will have 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 are also required.
Key Responsibilities:
- Design and develop innovative AI-based solutions that push the boundaries of industrial applications, digital twins, and autonomous systems.
- Develop and deploy AI models in Edge Cloud, MLOps pipelines, and enterprise data platforms.
- Drive the research, design, and prototyping of AI-based solutions that leverage Generative AI, Computer Vision, and Predictive Modeling.
Preferred Skills:
- A strong background in computer science or a related field.
- Experience collaborating in multidisciplinary R&D teams.
- Contributions to open-source patents or publications in AI/Machine Learning.
Requirements:
- 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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